Abstract
With the rise of unmanned driving technology and advanced driver assistance systems (ADAS), millimeter-wave radar plays a key role in the field of autonomous driving due to its unique advantages. It can provide forward target information (distance, velocity and angle) for vehicle decision-making and execution systems. Linear frequency modulated continuous wave (LFMCW) automotive radar usually divides the velocity ambiguity resolution and angle estimation into two frames for processing, which will reduce the radar data rate. This paper proposes an improved automotive LFMCW radar multi-target recognition method, which uses the TMD method to transmit sawtooth signals with different time widths and the same bandwidth, and completes range velocity calculation, angle estimation and divides the velocity ambiguity resolution within one frame. This algorithm can simplify the steps of resolving velocity ambiguity and improve the angle measurement accuracy. And it has certain reference significance for the research and application of the LFMCW automotive radar.
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