论文标题
用于减轻汽车雷达相互干扰的波形设计
Waveform Design for Mutual Interference Mitigation in Automotive Radar
论文作者
论文摘要
相似的雷达系统之间的相互干扰会导致雷达灵敏度降低和虚假警报率提高。为了解决类似雷达系统中的同步和异步干扰缓解问题,我们首先提出了两个慢速编码方案,以调节连贯的处理间隔(CPI)中的脉冲(CPI),以进行单输入 - 单输出输出(SISO)方案。具体而言,第一个编码方案依赖于多普勒的变化,第二个编码方案是根据优化方法设计的。我们将讨论进一步扩展到更一般的多输入 - 型 - 式输出(MIMO)雷达的情况,并提出了一种有效的算法来设计波形以减轻此类系统中的相互干扰。所提出的编码方案在实践上是有效的,并且编码方案的合并仅需要对现有系统进行稍作修改。我们的数值示例表明,所提出的编码方案可以显着降低交叉函数所需区域的干扰功率水平。
The mutual interference between similar radar systems can result in reduced radar sensitivity and increased false alarm rates. To address the synchronous and asynchronous interference mitigation problems in similar radar systems, we first propose herein two slow-time coding schemes to modulate the pulses within a coherent processing interval (CPI) for a single-input-single-output (SISO) scenario. Specifically, the first coding scheme relies on Doppler shifting and the second one is devised based on an optimization approach. We further extend our discussion to the more general case of multiple-input-multiple-output (MIMO) radars and propose an efficient algorithm to design waveforms to mitigate mutual interference in such systems. The proposed coding schemes are computationally efficient in practice and the incorporation of the coding schemes requires only a slight modification of the existing systems. Our numerical examples indicate that the proposed coding schemes can reduce the interference power level in a desired area of the cross-ambiguity function significantly.