基于STFT与WVD的LPI雷达信号检测

魏格纳分布（WVD）因具有高分辨率、能量集中性和时频边缘特性而成为时频分析的有力工具,然而当处理多分量信号时不可避免的存在交叉项的干扰,因而阻碍了WVD的应用.短时傅里叶变换（STFT）不存在交叉项,但时频分辨力较差.为此本文提出了基于STFT与WVD联合的低截获概率（LPI）雷达信号检测算法,该算法在保证优良时频聚集性和分辨力的同时可以处理多分量信号.仿真实验表明该算法能有效抑制交叉项的干扰,并且在低信噪比条件下可以对LPI雷达信号进行检测.

LPI Radar Signal Detection Based on STFT and WVD

Wigner-Ville Distribution becomes a powerful tool for time-frequency analysis due to high resolution, energy concentration and time-frequency edge characteristics. However, it can＇t avoid cross-term interference when dealing with multi-component signals. Therefore the application of WVD is hindered. Short-time Fourier transformation don＇t exist cross- term interference, but the time-frequency resolution is poor. So in this paper an algorithm based on the STFT and WVD is presented to detect LPI radar signals. The algorithm can process multi-component signals with excellent time-frequency ag- gregation and resolution. Simulation results illustrate that the algorithm can suppression the cross-term interference effective- ly. The algorithm can detect LPI radar signals in a tow SNR environment.