基于多通道分段自相关的弱信号检测算法及实现

The algorithm and implementation based on multichannel sectional self-correlation for weak signal detection

通过对雷达信号检测方法的深入分析,提出了一种基于多通道分段自相关的方法,成功地解决了低信噪比下信号检测问题。文章采用多通道并行处理,自适应门限,数据融合的方法实现了对不同脉冲宽度的信号检测,并通过双门限检测和门限修正降低虚警率并提高参数估计精度。文章理论分析了整个算法流程,并通过FPGA硬件实现验证,表明该算法实时性好、检测概率高,在工程应用中具有一定的参考价值。

With further analysis made on radar signal detection methods, a method based on the multichannel sectional self-correlation is presented to successfully solve the detection problems, with low SNR. The multichannel parallel processing, the adaptive threshold and the data fusion are adopted to implement the signal detection with different pulse widths. Besides, the double-threshold detection and the threshold correction are used to reduce FAR and improve the parameter estimation precision. The algorithm process is analyzed theoretically and verified through FPGA. The results show that the algorithm is of certain reference value in engineering applications with good real-time performance and high detection probability.