PRIDE: Ground-based VLBI observations for Spaceborne Probes

<p><strong>Introduction</strong></p>
<p>Planetary Radio Interferometry and Doppler Experiment (PRIDE) will exploit the signal recording and processing technology developed originally for Very Long Baseline interferometric (VLBI). The essence of PRIDE is in observing the spacecraft radio signal with a network of Earth-based radio telescopes. The PRIDE technique developed at the Joint Institute for VLBI ERIC (JIVE) together with its partners was used for several experiments with several ESA planetary science missions. It has been chosen by ESA as one of the eleven experiments of the Jupiter Icy Moons Explorer (JUICE), the first Large-class mission in the ESA&#8217;s Cosmic Vision 2015&#8211;2025 program. The mission is scheduled for launch in 2022.</p>
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alt="" /></p>
<p><em><strong>Figure 1: A typical PRIDE Experiment </strong></em>&#160;</p>
<p><strong>1. PRIDE for JUICE Mission</strong></p>
<p>PRIDE is a multidisciplinary component of the JUICE science suite. The main measured deliverables of PRIDE are lateral coordinates L(&#966;, &#952;) of spacecraft and the radial velocity of spacecraft. The former (main) measurable of PRIDE requires the phase-referencing VLBI observations (see Duev et al. [1]).&#160; The latter employs the Doppler extraction technique described in [7,8]. Its prime deliverable will be used primarily for improvement of the Jovian system ephemerides in support to a variety of applications, ranging from gravimetry to geodynamics to fundamental physics. A typical PRIDE experiment is shown in Figure 1.</p>
<p>PRIDE observations are carried out by the ground segment when the spacecraft emits a radio signal for communication or radio science purposes. The methodology of PRIDE has been demonstrated with the ESA's Venus Express & Mars Express by Duev et al. 2012 [1], Molera Calv&#233;s et al. 2014 [2], Duev et al. 2016 [4], Molera Calv&#233;s et al. 2017 [8], Bocanegra et al. 2018 [7], Bocanegra et al. 2019 [8]. In addition to nominal science objectivities, the team is considering ad hoc observations around the Venus and Mars flybys during the cruise phase. A covariance analysis for a broad scope of the PRIDE measurable and Jovian system parameters have been performed to optimize the observation planning and the overall science impact of the JUICE mission (Dirkx. D et al. 2016 [4] & Dirkx. D et al. 2017 [5]).</p>
<p><strong>2. Ongoing PRIDE observing projects</strong></p>
<p>In 2020, we have begun a campaign to gather PRIDE tracking data of the InSight lander, with up to three tracking epochs scheduled for each of the three 2020 EVN sessions. The primary goal of these experiments is to serve as a preparatory activity for more intensive operations for ExoMars-LaRa [9].</p>
<p>The primary manner in which PRIDE will be able to contribute to the science objectives of LaRa is through the use of the Doppler data obtained by all receiving stations. As shown by the analysis of Bocanegra et al. 2018 [7], PRIDE Doppler data at X-band is similar, and in some cases, higher quality compared to regular closed-loop tracking data. One advantage of PRIDE lies in its diversity of receiving stations, making the data quality much less dependent on the meteorological or operational conditions at a single telescope.</p>
<p><img src="data:image/jpeg;base64, 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PoWbHpk4qPS9K8MaVp62Om2mk21osouBFEqKvmDBD/7wwOevA9K1P7J07/oH2n/flf8ACqOt6Vpw02QiwtAdyf8ALFf7w9qAOV8S+ELLX9e+2XGoaHFA0scjvHYR/bHRMZiNwW+42MHC5wcZxXYBdG3Xjf6Bm9/4+TlP3/yhPn/vfKAOewxVj+ydO/58LT/vyv8AhR/ZOnf9A+0/78r/AIUAZ11p3hu7nsZrq10iaax2/ZZJEjZoNpBGwnlcEDp6CtT7fZ/8/dv/AN/F/wAaZ/ZOnf8AQPtP+/K/4Uf2Tp3/AED7T/vyv+FAFbV4tE1mxey1Uafe2kn3oZyjqcdDg96qaXpPhfSrBLLTrTSba0SZbgRRqir5oxh/94YHPXgelan9k6d/0D7T/vyv+FH9k6d/0D7T/vyv+FAHN+K9FsdY0vU7PT7/AE3TW1ZfJ1G5SJGlmi2lSAdwG7BwGYNgdq6Gwm02xsoLS1ntoreCNYo0EowqqMAdfQU/+ydO/wCgfaf9+V/wo/snTv8AoH2n/flf8KAKdxb6DcRXkc8emyx3jK9yrhCJmAABf+8QFXr6D0pmvWPh7xBZi11uHTb+3Vt6pcbHCt0yM9DyeRV/+ydO/wCgfaf9+V/wo/snTv8AoH2n/flf8KAMabQfCM+hx6NLp+jNpUbb0tNkflq394DseTz15PrWf4W8L6FoUOrW5l02e0vNVOqQwbEVLZgsYQKvT5TGCCMY/Ctj+ytP/wCEhA+wWmPspOPJX+/9K0f7J07/AKB9p/35X/CgBLqfTLu1ltrqWznt5UKSRSMrK6kYIIPBB9Ky/D2keF/Dgn/sK00rT/PIMptwiF8ZxkjqBk4HbJrV/snTv+gfaf8Aflf8KP7J07/oH2n/AH5X/CgCMyaX9u+2eZZfa/L8kTbl37M52564zzis6x0jwvYazcatZ2ekwancZ826jWNZHycnLDnk8n171q/2Tp3/AED7T/vyv+FH9k6d/wBA+0/78r/hQBFE+lRXk93E9il1cKiyzKyh5AudoY9SBubHpk+tVLyw8OX0V7He2+lXEd8ytdLKsbCcqAFL5+9gAYz0wK0P7J07/oH2n/flf8KP7J07/oH2n/flf8KAMfT9C8I6dDdQ2Gm6Hbw3aeVcJFFEqzJ/dcAfMOTwfWneHtH8LeHPO/sK00nTzNjzGtwiM+OgJHJAycD3rW/snTv+gfaf9+V/wo/snTv+gfaf9+V/woAjmk0qa6guZZLJ7i3DCGVmUtHuGG2ntnAzTZ20m4u7a6naxkubbd5ErlS0W4Ybae2Rwcdam/snTv8AoH2n/flf8Kp6XpOnG05sLQ/vJP8Aliv99vagAFtoI0mTSxHpg02QMr2uE8pgxJYFehySSfXJrP1Pw54N1W+lvdS0rQru8lx5k88MTu+AAMsRk4AA/Ctz+ydO/wCgfaf9+V/wo/snTv8AoH2n/flf8KAHrfWSgAXVsAOAPMX/ABps13p80Txy3Fq8bqVZWkUhgeoNVTaabuYJpUMgBxuW3TGaT7Jp/wD0Bk/8B0oAzdL8OeDdKvYrvS9K0Gzuos+XNBDEjpkEHBAyOCR+NJp3hvwbpuqnU9P0zRLa/wAkieKONWUnqQR0Jyc49a0/smn/APQGT/wHSj7Jp/8A0Bk/8B0oAV49EeK9jddOaO9Ja6VthE5KhfnH8XyqBz2AFUdP0Xwrp2k3Gl2NlpEGnXOfPtkWMJLnruH8XHHParv2TT/+gMn/AIDpR9k0/wD6Ayf+A6UAUtJ0Pwlo08k+kadoljNJGYne3ijjZkJBKkjtkDj2pt/oPhHULaztr/TdEuYLJPKto5YomWBOBtQH7o4HA9BV/wCyaf8A9AZP/AdKhurGxeNQujxg+Yh/4906BgTQBG2k+F20I6K1npH9kH/lz2R+V13Z29M55+vNN/sbwr/YaaKbLR20lCGWzZIzEDnOdvTOec+tXPsmn/8AQGT/AMB0o+yaf/0Bk/8AAdKAK2k6X4Y0eG4i0mz0eyjuABMlukaCUDIAYDr1PX1NL4f0vwz4eSZdCttK09Zm3Si2CJvI6Zx6ZOPTNWPsmn/9AZP/AAHSj7Jp/wD0Bk/8B0oAvf2hZ/8AP3b/APf1f8aP7Qs/+fu3/wC/q/41R+yaf/0Bk/8AAdKkhsdNlYqdMt42Azh4FGR+VAGhDNHMu6GRJFzjKnIp9cR8LY0ih8TpEqoi6/eAKowAMr2rt6ACiiigAooooAKKKKACiiigAooooAKKKKACuW+I/wDyBNP/AOwzpn/pbDXU1y3xH/5Amn/9hnTP/S2GgDqR0qK6WV7eRbd1jmKkI7LuCnsSMjNSjpTZXWONnkYKijLMTgAepoBnJW/ie60qdLTxbbLaOzbUvoctbyfU9UP1rrY5EkRXjZWRhkMDkEVDPHBe2zRzJHNBKuGUgMrA1ycmkan4Ykafw4WvNOJzJpcr/cz1MTHp/unjr7VleUN9V+JheVPfVfj/AME7SisnQddsdbtTLYyElTtkicbZI29GXtWtWiaaujaMlJXQUUUUxhVDXP8AkGSf7yf+hir9UNc/5Bkn+8n/AKGKAL9FFFABRRRQAUUUUAFFFFABRRRQBmn/AJGMf9ep/wDQxWlWaf8AkYx/16n/ANDFaVABRRRQAUUUUAFFFFABRRRQAVT0r/j0/wC2kn/obVcqnpX/AB6f9tJP/Q2oAuUUUUAYmo65p+g6ebrVrkW8DTvGHKs3zZYgcA+hrJ/4WV4S/wCgun/fmT/4muns1DRPuAI81+v+8am8qP8AuL+VXFwt7yf3/wDAM5Kpf3Wvu/4JyX/CyvCX/QXT/vzJ/wDE1b0rxz4d1a/istP1JZrmUkIgjcZwMnquOgrovKj/ALi/lSrGobIVR9BTbp20T+//AIAkqt9Wvu/4JU17UotH0TUNTuFd4bK3kuXVPvMqKWIHvgVzWhX2vto9jr2tajpsdhJbm8u7WO1bMMZjLgLJvJYrwCSvzc4A4rrby1hvbOe1uo1ltp42iljYZDqwwQfYg1yWm+Crm1AsbjxHqF34fjhNvFpjxQqBGUKBHlC72AB45B4BJOKzNShb/FbQ3tbie5jnt1jsTqEabo5Hlj3qmMIx2PukjG1sH5x6NiQ+OJ7bWtVi1TTLu0gtV02NYXCFzJdXEkW4MGIZR8mcHgq3WpY/h+02jXukavrt5f6dNbfZola3gjkjwQVkMioCzqVXBPBxyDRJ4DkubfU21TXr281C+S0UXRijTyXt5WkiZEA28MwJByCR70AXNa8bWmmXU9t9ivLmePUINNCQhcvLLEJFxlgMYIBJxj6c0z/hOLY6RcXhtJI5LW+fT7qCe4hiMMqru5ZnCkEFSMEn5xxwcR2ngQLOLnUNYu769bUodTkmeNE3SRRCMKFUABcAe/qSckwXXw7iN/NqGn6tdWeovqcupJMI0kVDLCkLpsYFSNqAgnkH2JBAOl8K67Z+JdBtNX04v9luVJUOMMpBKsD7hgRxxxxkVrVj+EdBh8M6DBpVtPNPFC8riSY5dt8jOcnvy1bFABUJ/wCPxf8AcP8AMVNUJ/4/F/3D/MUAcj8MfueKf+w/ef8AoS12lcX8MfueKf8AsP3n/oS12lABRRRQAUUUUAFFFFABRRRQAVzXj7xTD4S0WG8lVGlubqKygEhKp5kjYBYgEhQMk4BPGB1rpawvGHh5fEWn20QmFvdWd3FfWszJvWOaNtyllyNw6gjI4PUHmgBvg3VbjVdJeW9utOubmKZ4ZWsQ6orDHysj/MjDPIPse9ZkOt+IIfGdlo97BpUlvNBNdTPbtJvhjTCqTkYyzMABx91iOlXfD/h++0qW8uJtSguLu/v/ALZeMtr5aMvlCNY413nZgIh3EsTg568WNM8Pi18Sa1rNxcm4uNQEUMY2bRBBGpxGOTnLtIxPH3hxxkgHO/D7xxJ4tuYbkXGlpYX1u1xaWqGQ3IVWAJZiAjYyAwX7pOMnrT/iXr2jxQ6fpkmq6empf2xpjfZGuUE2PtkLZ2ZzjHPTpzVjwv4NutFuNJSbVIrjTtHtntLC3S08t1RtoHmSF23kKoHAUE5JHTFr4jj/AIkmn/8AYZ0z/wBLYaAN8anYY/4/bX/v6v8AjVTVp7C/0y6szf2yC4iaIsJVONwIz1961hRigE7angsF34j+G90FguYtY0ItnYkgbaPbHKn9K9V8M+M9F8Q2IuLS7jjcD95DMwV0PuP6iuieNXQq4DKwwQRkGvNfFfw4K3n9seDZ/wCzNVjO7y0O2OQ/0/kaz5px+LVfj/wfzOq1Kvt7kv8AyV/5fLTyN7xBp1hd3H9o6RqVtYazGuEnWVdsg/uyLnDD9Rx6VL4d8XW19JJZam0NnqkAxIhkGyT/AGo2zyv6isbwX4++2Xn9i+JoDp2uR/LhxtSY/wCz7n06HtXV+IdCs9ctVS5DRzRndDcRnbJE3qppOP26f/DnFVoToydlZ9u/9dy5/adj/wA/tt/39X/Gl/tOx/5/bX/v6v8AjXO6Rrl1p+pR6L4k2i6fi1vQMR3Y/wDZX9R+XauszVxmpLQITU1dFX+07H/n9tf+/q/41S1nULN9OkVLu3ZtycCVSfvD3rYqhrn/ACDZP95P/QxVFkn9pWP/AD+23/f1f8aP7Tsf+f21/wC/q/41booAqf2nY/8AP7a/9/V/xo/tOx/5/bX/AL+r/jVuigCp/adj/wA/tr/39X/Gj+07H/n9tf8Av6v+NW6KAKn9p2P/AD+2v/f1f8aP7Tsf+f21/wC/q/41booAqf2nY/8AP7a/9/V/xo/tOx/5/bX/AL+r/jVuigDEN/Z/2+H+12+z7MV3eYMZ3DjrWh/adj/z+2v/AH9X/GoP+ZiH/Xqf/QxWlQBU/tOx/wCf21/7+r/jR/adj/z+2v8A39X/ABq3RQBU/tOx/wCf21/7+r/jR/adj/z+2v8A39X/ABq3RQBU/tOx/wCf21/7+r/jR/adj/z+2v8A39X/ABq3RQBU/tOx/wCf21/7+r/jR/adj/z+2v8A39X/ABq3RQBU/tOx/wCf21/7+r/jVXTNQsktcNd26nzJDgyqP4z71q1T0r/j0/7aSf8AobUAL/adj/z+2v8A39X/ABo/tOx/5/bX/v6v+NW6KAM6C9tYbUyy3MEcTSvh2kAByx70v9s6Z/0EbP8A7/r/AI0Czt761aK7hjmjEzsFdcgHcai/4R7Sf+gda/8AfsVhU9tze5a3nc2h7K3v3v5WJv7Z0z/oI2f/AH+X/GnRapp80gjhvraR26Ksqkn9ar/8I9pH/QOtf+/YqW30XTraZZbeyt45F6MqAEVMXiL+8lb5lP2FtL/gSajerZ6dc3I2v5MTSbd2M4BOP0rjtM+JekanN4Tt7C6065u9abE1vBepI9p/ozzHKjk4KbOcdfwrtNStftmn3VsG2edE0e7Gdu4EZ/WuUi8B20cHhJEeBG0P/WOkAVrkfZZICMg5XPmbu/THvXSc5JN4/wBGl027m0y6E06Wc93bLLDJGlyIgdxjdlAcA4ztJ4OelWNN8Z6XqFmHV7kTLbJdtH9jmBdCcbowVzIM/wB3PUeorm4PhzqMsNjZ6lq1q9hpGn3Gn6b5NsVkKyxCIPMSxBKqMYUDJ546VZl8F63eRM2pazZm5t7E6fZSW1rJGNjNEztIPMySxiUYUjAzzzwAdBceM9FtrCa7uri4giiuI7Z1ltJlkEkmNgCFdxzuGCBj361FovjG01XxHqGkxW15E1qkTiWW2lRW3qW53KNuMdzz2rC074e3KK8l1d6fBLLe2N60VjaMkSG3feVG5yTu6bj+Xauhbw3IfEmpX32mJtP1KGKO5tmiYSbowwUpIHGB8wyNp6deaAIvG3iHUPDumX2qQ2mnz6bZWpuJWmvDFIxXJZVXYRnAGMnknHHWsrVviJbWfiSDSA2n2rvDDKx1G78hi0pO2NVCtkjHJOACyjnPFnXvCF/eahpZ07ULOLStPXfHYXdvJOrz7iRIxEqltvG1TkA89cYq+J/BGpard6u1rqNjDBrtjFYan5lqzOqoJBvhO/AJ8wjDZAxnnoQDvfMT++v51VnureG6QzTxRgoQC7gZ5FW1G1QPQYqI/wDH2v8AuH+YoA4/4WuskPid42VkbX7whlOQfmWu2ri/hj9zxT/2H7z/ANCWu0oAKKKKACiiigAooooAKKKxPFkurQWMUui3GmWuyQvdXGoxs8UUIRyWwrpzuC8k4AyaANuiuKjn8YLNYl9Y8K3MVw6MIorKWN5osguY2M5GQhJBwR0rtRQAUUUUAFct8R/+QJp//YZ0z/0thrqa5b4j/wDIE0//ALDOmf8ApbDQB1I6UUDpRQAUhpaKAOb8ZeENN8VWXlX0ey4UfurlBh4z9e49q5XRvE2p+EdQTRfG7GS1c7bTVcEq/oH9D7n8c9a9OqjrGl2mr6fNZajAk9vKMMjD9R6H3qHFp3idNOsnH2dVXj+K9P8ALYZq2mWWt6e1texrNA4yCDyD2ZT2PuK57TdVu/D+oRaR4hlMtvKdtnqLceZ/0zk9H9+9YVtdah8NriOz1JpL3wrI+2C6xl7LJ+6+Oq8/4eld7f2djr2lGC5WO5s7hAQQcgg8hlP6gioa5vejoznxOFlTanB77Po/6/A0VOao65/yDJP95P8A0MVzGk6hd+G9Ri0XXZWls5TtsdQb+L0jkP8Ae9D3rptc/wCQbJ/vJ/6GKuE+ZGcJqa8zQoooqywooooAKKKKACiiigAooooAzT/yMY/69T/6GK0qzT/yMY/69T/6GK0qACiiigAooooAKKKKACiiigAqnpX/AB6f9tJP/Q2q5VPSv+PT/tpJ/wChtQBcooooAr2X+qf/AK6v/wChGp8j1FY99o9prdgba/V2iWd3ASQocgsOo+prL/4V/oP/ADyuv/AqT/Gok5X0RnJzT91fidZkeopcj1Fcl/wr7Qf+eV1/4FSf41Z0vwdpGmX0d3aR3AmjJKlp3YcjHQmkpT6r8RKVS+q/H/gG5qNy1nYXFzHbT3TRIXEEAUySYGdq7iBk9skVzafEDw+8tv8A6bGltLardtdyuscUSv8AcRyxBDth8KAT8jZxxnq8V5jaeCdc0+11eK1mijj1DX7nUZVtLtraR7eRMIvmhCysGAJC44z83Y6Gp3Nx4k0S3tLe6n1jTo7a5TzIJWuUCyrkDKHPzDLKMj1HrVaTxf4cEcznX9K2QECVhdxkRndjBOeDkEY9RXL+BPBGoaNPocupm2kNgNTP+vedkNxcJJHh3UFiEDKWODz3zRb+Etc07wJp+kWdxFHcJqE0939nuGgaWGSWVtqShCyt88ZyAD8pAIzmgDsLjxLolvpcGpT6xp0enzttiuXuUEch54Vs4J4PT0PpTb3xPoVjbwz3utabBBMWWKSW6RVcqcNgk84PB9O9eY6d4fvvAkdhqurXdni31DUGjhub+V08u52spMzISZAYz1HO9uc9bFh4b8Qar4T06KHMFjLBds9pDdS6cRJJMWjJwm/y9pPyHGMjIPYA7zxf4v0rwxpV1c3t7Zi5jtJbqC1e4WN7gIpbC55OcYzg9atyeJdIt7i0tb3U7G1vrpEaK2luEWRt3CgKTk5PA9TXm8Pw+8Q2fhnUtOQ6ff3OqeHbTSZXuLhwtvNDC8ZK/ISyEvuzwcjpWxN4K1L+19YLsLjTtUNu8iJd+SUMcKRlSPLYkfuwwIYcseBjJAO1Gv6QdY/sn+1LH+1P+fQXC+b03fcznpz9Oaun/j8X/cP8xXn1r4L1CPUWivM3VgusHVIX+3lMEzeaCyeVnKklcb8EAcgHA9A/5fF/3D/MUAcl8MfueKf+w/ef+hLXaVxfwx+54p/7D95/6EtdpQAUUUUAFFFFABRRRQAVz/jx4D4X1C0uhebL+CSz3WtlJdshdGG4pGCcD8B0Gea6CsTxVdXtvb2kel3+m2N3PP5aNfwPMj/I7FQFdMNhc5JxgHjmgDgvBMWi6n4n0rUPC15qa6NCs7x2cmlTx2wkK+WxilZQqDKnKZI3A4wSc+sV514A03UvBml2em6l4g0O60qFmRRDaPHMzyykgbvNYfefH3fSvRc5oAKKKKACuW+I/wDyBNP/AOwzpn/pbDXU1y3xH/5Amn/9hnTP/S2GgDqR0ooHSigAooooAKKKKAIbu1hvLeSC6iSWGQbXRxkMPcV54Uuvhxd7o/OuvCEz/MvLvp7E9R3Mf8vr19JqOeFJ4XimRZInUqyMMhgeoIqZRvqtzalW5Pdkrxe6/rqUb60sNf0kxTiO5s7hAyspyCD0ZT69wRXK/wBoXOjY0DWpGl3sv2G9b/luoYfI3+2P1qm6XPw5vTJGJbjwjO+WQZZtPYnqPWMk/h9evT+KLWy17wyysyTQS7HiljIOMkYdT+PWs3d6r4kZ4nDOFqtN3T2f6PzOgBpa5Pw3ql3Y339g+IJA16oJtbo8C7jH/s4HUfjz1rrM1pGXMrmUJqaugoooqiwooooAKKKKACiiigDNP/Ixj/r1P/oYrSrNP/Ixj/r1P/oYrSoAKKKKACiiigAooooAKKKKACqelf8AHp/20k/9DarlU9K/49P+2kn/AKG1AFyiiigCtZf6t/8Arq//AKEasVkXunPqViYYr+8sSJ3bzbVlVzy3HzAjHP6Vm/8ACJXP/Q0+If8Av7F/8bqW30RrCEJK8pW+TOporl/+ETuf+hp8Q/8Af6L/AON1Y07w7cWd7HO/iDWbpUOfJnkjKNx3wgP60XfYp06aV1P8GblzOltbyzzNtiiQu5xnAAyazLHxJpd/d2dtZ3PnT3VqL1ERGO2EgFXfj5M54DYJ5xnBxa1uF59Fv4Yl3SSW8iKuepKkAV5b4X8O694S8IXWkQ6UuprqGnecJJ9kkkVz5KhrecEjzE4whzwBsOBg1Rgep32qWdjapcXNwiwPNHArj5gXdwijjPVmA9u9VLXxBY3muajpMLsLuw8gy7hhT5oLLtOeeFNeT23geeO01i3/ALFnu9LM2mXaW9xZ2kIneKcmcxwxhUUmMBfmGT0JIIpfFHgWe+/4Tm/03w+kV3Jp9kuhERxpJBJHG2RFz+6ZTtGRjoMHigD2wugkCFl3kZC55NVNQ1GOyWImOadpJY4gkCb2Xe4XcQOignJPYA15RqXgzVrzxrql5ftLvbU4bmyvYNPillSFfLIRZi4aNVKsGXABBY87qsReB5odGW5i0eJdbk8UC8mnCp5zWo1Pzcl+uzy1Vtue3TNAHrQkUybAy78Z255xQJFZ2RWUsvUA8ivJ7fwZc2mo6TqlppSR6r/wlN5c3N2qp5v2ORrnGX6lCGj+X3HFRfDHwfqmlatpt3qu+HUoEmS9lTToo/tbHgs86uWkBbDqSM8DIXkUAewVCf8Aj8X/AHD/ADFTVCf+Pxf9w/zFAHI/DH7nin/sP3n/AKEtdpXF/DH7nin/ALD95/6EtdpQAUUUUAFFFFABRRRQAVkeKNO0TUNKkPiaysLvTrUG5YXsKyxx7VOXwwIBALc+hNa9ZPi42Q8K6ydWWRtNFlMbpY87jFsO8DHOducUAc3p2g/DyPxEllYaD4fi1eDEyeVp0asjAKwKttxuAZWwDkAg1pfETxUnhHQY7vYjz3VzFZW/mBigkkOAX25O0ckgDJxgdawvCOhM+paXeX+k6xHPbyzXou72a2LPLJEI8uIjyRH8owMV1Pi7w/H4i06CEy/Z7m1uYr21n27/ACpo23KxXI3DqCM9CehwaAIPA2r3OsaRLPeXun3k8c7RFrOCSAJgA7HjkJZHGeQexFYdhq3jGHx5Z6Pqkvh24spLea7m+yW8yTRRqQseSzkZZj3HIV8dK2vD/h690tp559VFxfXt79rvpFtgiSgRCMRouTsACIc5J4OTzVvTdBWz8Q6xrEkzTXV+Io13DAhhjX5Y15/vM7E8ZLe1AHL/AA58VazreoSQa/caTDMbfzlsIrO4t7iP5gMnzWw6jOCVGM96T4m+KtCgaw0WbVrJNWGr6Y/2RpQJMfa4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alt="" /></p>
<p><strong><em>Figure 2: &#160;Frequency detections of Mars Insight (NASA) as seen from the University of Tasmania network of radio telescopes. The spacecraft signal was detected at the sky frequency of 8407.25 MHz and Doppler shift of 50 kHz along 70 minutes of tracking</em></strong></p>
<p>Besides, we propose to merge the three-way Doppler data generated at each receiving station, to fully exploit the data encoded in all downlinks. This would allow an improved calibration of receiving station noise levels, as the noise incurred locally at the receiving ground station (including Earth tropospheric and ionospheric noise on the downlink) is independent for each station. We will use the InSight tracking data to test different practical approached to achieving this conceptual aim, and apply these &#8216;lessons learned&#8217; to ExoMars-LaRa data analysis. In particular, we will apply the InSight tracking data to investigate different manners in which to weigh the data, considering the fact that the three-way Doppler noise generated at all receiving stations is highly correlated, and to investigate how inter-station biases and drifts can best be calibrated for. The results of the ongoing PRIDE observations of NASA's InSight probe will be reported elsewhere (Dirkx. D, Le Maistre. S, Dehant. V et al., in preparation).</p>
<p><strong>References</strong></p>
<ol>
<li>D. A. Duev. et al.: Spacecraft VLBI and Doppler tracking: algorithms and implementation, Astronomy & Astrophysics, 541, A43, 2012</li>
<li>G. Molera Calves. et al.: Observations and analysis of phase scintillation of spacecraft signal on the interplanetary plasma". In: A&A 564, A4, 2014</li>
<li>D. A. Duev. et al.: Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos fly-by, Astronomy & Astrophysics, Vol. 593, 2016</li>
<li>Dirkx D. et al.: Dynamical modeling of the Galilean moons for the JUICE mission, Planetary and Space Science 134 (2016) 82&#8211;95</li>
<li>Dirkx D. et al.: On the contribution of PRIDE JUICE to Jovian system ephemerides, Planetary and Space Science, 14&#8211;27, 2017</li>
<li>G. Molera Calves. et al.: Analysis of an Interplanetary Coronal Mass Ejection by a Spacecraft Radio Signal: A Case Study, Space Weather, 15</li>
<li>T. M. Bocanegra-Baham&#243;n. et al.: Planetary Radio Interferometry and Doppler Experiment (PRIDE) technique: A test case of the Mars Express Phobos Flyby II. Doppler tracking: Formulation of observed and computed values, and noise budget, Astronomy & Astrophysics, 609, A59, 2018</li>
<li>T.M. Bocanegra-Baham&#243;n. et al.: Venus Express radio occultation observed by PRIDE, Astronomy & Astrophysics, 624, A59, 2019</li>
<li>Dehant V. et al.: The radioscience LaRa instrument onboard ExoMars 2020 to investigate the rotation and interior of Mars, Planetary and Space Science 180, 104776, 2020</li>
</ol>
<p>&#160;</p>
<p>&#160;</p>


PRIDE for JUICE Mission
PRIDE is a multidisciplinary component of the JUICE science suite.The main measured deliverables of PRIDE are lateral coordinates L(φ, θ) of spacecraft and the radial velocity of spacecraft.The former (main) measurable of PRIDE requires the phase-referencing VLBI observations (see Duev et al. [1]).The latter employs the Doppler extraction technique described in [7,8].Its prime deliverable will be used primarily for improvement of the Jovian system ephemerides in support to a variety of applications, ranging from gravimetry to geodynamics to fundamental physics.A typical PRIDE experiment is shown in Figure 1.
PRIDE observations are carried out by the ground segment when the spacecraft emits a radio signal for communication or radio science purposes.2019 [8].In addition to nominal science objectivities, the team is considering ad hoc observations around the Venus and Mars flybys during the cruise phase.A covariance analysis for a broad scope of the PRIDE measurable and Jovian system parameters have been performed to optimize the observation planning and the overall science impact of the JUICE mission (Dirkx. D et al. 2016 [4] & Dirkx. D et al. 2017 [5]).

Ongoing PRIDE observing projects
In 2020, we have begun a campaign to gather PRIDE tracking data of the InSight lander, with up to three tracking epochs scheduled for each of the three 2020 EVN sessions.The primary goal of these experiments is to serve as a preparatory activity for more intensive operations for ExoMars-LaRa [9].The primary manner in which PRIDE will be able to contribute to the science objectives of LaRa is through the use of the Doppler data obtained by all receiving stations.As shown by the analysis of Bocanegra et al. 2018 [7], PRIDE Doppler data at X-band is similar, and in some cases, higher quality compared to regular closed-loop tracking data.One advantage of PRIDE lies in its diversity of receiving stations, making the data quality much less dependent on the meteorological or operational conditions at a single telescope.

Figure 2: Frequency detections of Mars Insight (NASA) as seen from the University of Tasmania network of radio telescopes. The spacecraft signal was detected at the sky frequency of 8407.25 MHz and Doppler shift of 50 kHz along 70 minutes of tracking
Besides, we propose to merge the three-way Doppler data generated at each receiving station, to fully exploit the data encoded in all downlinks.This would allow an improved calibration of receiving station noise levels, as the noise incurred locally at the receiving ground station (including Earth tropospheric and ionospheric noise on the downlink) is independent for each station.We will use the InSight tracking data to test different practical approached to achieving this conceptual aim, and apply these 'lessons learned' to ExoMars-LaRa data analysis.In particular, we will apply the InSight tracking data to investigate different manners in which to weigh the data, considering the fact that the three-way Doppler noise generated at all receiving stations is highly correlated, and to investigate how inter-station biases and drifts can best be calibrated for.The results of the ongoing PRIDE observations of NASA's InSight probe will be reported elsewhere (Dirkx. D, Le Maistre. S, Dehant. V et al., in preparation).
Planetary Radio Interferometry and Doppler Experiment (PRIDE) will exploit the signal recording and processing technology developed originally for Very Long Baseline interferometric (VLBI).The essence of PRIDE is in observing the spacecraft radio signal with a network of Earth-based radio telescopes.The PRIDE technique developed at the Joint Institute for VLBI ERIC (JIVE) together with its partners was used for several experiments with several ESA planetary science missions.It has been chosen by ESA as one of the eleven experiments of the Jupiter Icy Moons Explorer (JUICE), the first Large-class mission in the ESA's Cosmic Vision 2015-2025 program.The mission is scheduled for launch in 2022.