车载分布式雷达相参处理方法研究

城市道路环境中行人、路障等弱目标回波信噪比低,传统车载雷达对其探测能力有限.本文将分布式体制应用于车载雷达,通过对多雷达回波相参积累,以期提高目标信噪比,改善雷达探测能力.相参参数估计是实现车载分布式雷达相参积累的关键,本文针对车载分布式雷达脉间相位编码波形非理想正交,导致传统相参参数估计方法精度低的问题开展研究,提出...

Research on Coherent Processing Method of Distributed Automotive Radar

In the urban road environment， the signal-to-noise ratio of the target echoes such as pedestrians and roadblocks are low， which leads to low detection performance for conventional automotive radar. In this paper， the distributed coherent array is applied to the automotive radar， and the target signal-to-noise ratio is improved through the coherent accumulation of multiple radar echoes， thereby enhancing the detection performance of automotive radar. Coherent parameter estimation is the key to realize coherent accumulation of distributed automotive radar. However， non-ideal orthogonal of inter-pulse phase encoding waveform will lead to the low accuracy of traditional coherent parameter estimation methods. To solve above problem， a coherent parameter estimation method is proposed for the stepwise estimation of delay parameters and phase parameters. First， the echoes of each channel are separated according to their orthogonality. Then， the delay parameters between channels are estimated based on the position of the target. Afterwards， the delay parameter compensation is used. Finally， after the target position of each channel is aligned， the phase parameters of each channel are estimated. Simulation and experiment show that compared with traditional coherent parameter estimation methods， the phase parameter estimation accuracy of the proposed method is higher.