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目标运动使雷达回波表现为初始频率和调频率参数均为未知的线性调频(LFM)信号,精确且快速地检测和估计出未知参数的LFM信号是雷达信号处理的主要工作。文章利用LFM信号在特定阶数的FRFT域呈现出能量聚集特性,介绍了基于FRFT的二维峰值搜索、模最大值两步搜索和预判法三种LFM信号检测与参数估计算法。通过在高斯白噪声背景下对三种算法的仿真进行分析、比较,结果表明:在低信噪比条件下,基于FRFT模最大值两步搜索算法估计精度高,计算量较小,为工程应用提供可能。
The target movement makes the radar echoes appear as LFM signals whose initial frequency and frequency tuning parameters are unknown. The accurate and fast detection and estimation of LFM signals with unknown parameters are the main tasks of radar signal processing. In this paper, we use the LFM signal to exhibit the energy accumulation in the FRFT domain with a certain degree of order, and introduce two kinds of LFM signal detection and parameter estimation algorithms based on FRFT, such as two-dimensional peak search, two-step maximum modulus search and predictor. By analyzing and comparing the simulation results of three algorithms in the background of white Gaussian noise, the results show that the proposed two-step search algorithm based on the maximum FRFT modulus has the advantages of high precision and low computational complexity under low signal-to-noise ratio Provide possible.