Adaptive and Fast Combined Waveform-Beamforming Design for MMWave Automotive Joint Communication-Radar

Millimeter-wave (mmWave) joint communication-radar (JCR) will enable high data rate communication and high-resolution radar sensing for applications such as autonomous driving. Prior JCR systems that are based on the mmWave communications hardware, however, suffer from a limited angular field-of-view and low estimation accuracy for radars due...

Automotive radar interference study for different radar waveform types

Mutual interference between different radar waveforms used in automotive radar applications is studied. The existing interference analysis is extended to a generalised radar-to-radar interference equation that covers most of the common interference scenarios for automotive radar systems. The outcome of the generalised equation is demonstrated...

Phase-Coded FMCW Automotive Radar: System Design and Interference Mitigation

A frequency-modulated continuous-wave (FMCW) radar takes advantage of stretch processing (dechirping, deramping) to reduce the sampling requirements of radar systems such as automotive radars. When applying phase coding into FMCW radar systems for interference mitigation or joint communication, preservation of this benefit is not possible, due...

Doppler Influence on Waveform Orthogonality in 79GHz MIMO Phase-Coded Automotive Radar

Utilization of phase-coded waveforms in automotive MIMO radars for short to medium range applications is studied. Performances of three most-promising binary code families (Gold, APAS and ZCZ sequences) are compared. Design tradeoffs of practical implementation of phased-coded waveforms for MIMO radar are analyzed for the first time for a...

An automotive MIMO radar calibration using targets of opportunity in different weather conditions

Automotive radar has an advantage over other sensors in that it is better at operating in bad weather conditions. To see the extent of the effect that adverse weather conditions might have on the statistics of the data a statistical analysis was performed on real measurement data. During heavy rain there is a shift that can be observed in the...

Statistical Approach for Automotive Radar Self-Diagnostics

In this paper, the problem of on-the-fly estimation of the radar state (self-diagnostics) is considered. We propose to use repetitive objects of the road infrastructure, such as lampposts, for continuous diagnostics of the radar state. The selected approach allows accounting for the external factors, such as water layer or...

A 77/79-GHz Frequency Generator in 16-nm CMOS for FMCW Radar Applications Based on a 26-GHz Oscillator with Co-Generated Third Harmonic

This paper presents a digitally controlled frequency generator for dual frequency-band radar system that is optimized for 16 nm FinFET CMOS. It is based on a 21% wide tuning range,fine-resolution DCO with only switchable metal capacitors. A third-harmonic boosting DCO simultaneously generates 22.5-28 GHz and sufficiently strong 68-84 GHz...

Low-level radar data based road user detection

In order to achieve redundancy and improve the robustness of an autonomous driving system, radar is a suitable choice for road user detection task in severe working conditions (e.g. darkness, bad weather). However, the real-time multi-class radar based road user detection algorithm is less explored compared with camera and LiDAR solutions. To...

Automotive RADAR: Real-time implementation of joint sensing and communication waveform on a microcontroller

The automotive radars are significantly drifting towards the 77GHz electromagnetic spectrum band, and by 2020, they will no longer operate in the 24GHz band as per the regulations given by the European Telecommunications Standards Institute (ETSI) and Federal Communications Commission (FCC) in Europe and the U.S. With the communication systems...

Design and analysis of non-uniform MIMO array for interference suppression and automotive applications

Automotive radars play a very important role in reduction of traffic accidents and casualties by making the vehicle fully self aware of its surroundings. For the vehicle to be fully self aware multiple sensors or radars have to placed in close proximity of each other on the body of the automobile. This will lead to interference between the...

Interference in 79 GHz Phase-Coded Automotive Radar

Automotive radars play a crucial role in the reduction of traffic casualties and the realization of autonomous driving due to its robustness and adverse weather tolerance. However, as the penetration rate of automotive radars increases, concerns arise regarding the mutual interference. In contrast to the predominant Frequency-Modulated...

Synchronous and Asynchronous Radar Interference Mitigation

This paper considers the interference mitigation problem for radar systems by focusing on emerging signal separation (decomposition) methods. We define appropriate transform domains to sparsely represent the interference and the signal of interest to separate them from each other. To show the effectiveness of the proposed algorithm at actual...

Target Localization Using MIMO-Monopulse: Application on 79 GHz FMCW Automotive Radar

A novel target azimuth estimation algorithm called ”MIMO-Monopulse” is proposed by combining monopulse approach with multiple-input multiple-output (MIMO) radar. Chebyshev and Zolotarev weighting are applied to synthesis sum and difference pattern of MIMO-monopulse. A new visualization method for monopulse ratio is discussed. Finally, the...

Target localization using MIMO-monopulse: Application on 79 GHz FMCW automotive radar

Automotive radar is widely used for driving safety support and it is a key element of future autonomous vehicles. Radar sensors have the property that the performance is not to be affected by low vision conditions compared with camera sensors or laser based radar sensors, which makes it crucial for the autonomous driving system.<br/><br/...

Mm-Wave In-Package Antennas for Short-Range Car Radar Application