The angular resolution of a radar system can be enhanced with an increasing antenna aperture. Instead of using more antenna elements, the distances in the aperture can be increased with a sparse array. To mitigate the high side lobes originating from the sparse array, the missing antenna elements can be reconstructed by means of compressed sensing. In this paper a sparse antenna array with a low side lobe level is determined with a genetic algorithm and a cost function. An investigation is performed what difference in the radar cross section of two targets in the same range-Doppler cell can be achieved. Additionally, instead of considering point targets only, a target vehicle is measured with a 77 GHz MIMO radar.

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This paper presents the channel influence when simulating interference between automotive radars in realistic scenarios. As a starting point, a simple approach considering only the line-of-sight (LoS) component of the signal transmitted by the interferer radar is presented. Following, the influence of the ground reflections in interference situations is analyzed by introducing the two-path model. Properties of the road surface such as roughness and the Fresnel reflection coefficient are considered in order to obtain a more realistic simulation. A sweep of all the possible ranges between victim and interferer radars is performed, and the influence of the interferer radar is analyzed. Finally, a statistical analysis of the key radar parameters is carried out in order to evaluate the interference behavior in the presented model.

The increasing amount of automotive radar sensors leads to a higher risk of undesired interferences. Complex traffic scenarios comprise several vehicles, each one equipped with multiple sensors. As a result, a significant number of timevariable interference links are present in the scenario. Making use of the graph coloring theory, this paper analyzes a highway and an intersection scenario and gives boundaries regarding the minimum number of resources needed to completely suppress the existent interference links. Based on these results, the scenarios are simulated using the current unregulated scheme and considering a wise distribution of the sensor parameters. It is shown that even in such complex scenarios with thousands of interference links, it is possible to significantly reduce the interference if the available sensor resources are wisely assigned.

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