基于参数匹配的调频连续波干扰抑制方法

随着线性调频连续波(FMCW)车载雷达的广泛应用，同一个场景下若干个雷达的相互干扰可能导致传感器灵敏度降低，甚至虚警。针对该问题，提出一种基于量子遗传和中心值匹配相结合的干扰抑制方法。该方法首先将发射波形和干扰信号的互相关函数作为目标函数，通过量子遗传算法进行波形参数优化，在约束范围内得到互相关最小的工作参数，然后基于这个参数生成发射波形，最后根据干扰信号的参数，通过中心值匹配的方法选择合适的工作雷达参数，实现自适应干扰抑制。仿真结果表明，该方法可以以较低的计算量达到良好的干扰抑制结果。

A method for suppressing FMCW interference based on parameter matching

With the wide application of Frequency Modulated Continuous Wave(FMCW) on-board radar, the mutual interference of several radars in the same scene may lead to the decrease of sensor sensitivity and even false alarm. To tackle with this problem, an interference suppression method based on quantum genetic and center value matching is proposed. Firstly, the cross-correlation function of the transmitted waveform and the jamming signal is taken as the objective function, and the waveform parameters are optimized by Quantum Genetic Algorithm(QGA) to obtain the working parameters with the minimum cross-correlation within the constraint range. Then, the transmitted waveform is generated based on these parameters. Finally, according to the parameters of the jamming signal, the appropriate working radar parameters are selected by the center value matching method, realizing adaptive interference suppression. Simulation results show that this method can achieve good interference suppression results with low computation complexity.