基于自适应STFT的时频域混叠多雷达信号分选方法研究

Time-frequency aliasing multi-radar signal sorting method based on adaptive STFT

提出了自适应STFT算法(ASTFT)对时频域混叠多雷达信号的分选方法。首先,基于典型STFT算法提出了ASTFT算法,给出了ASTFT算法的数学表达式和流程示意图。然后,对ASTFT算法关键参数进行了分析,主要包括窗口类型、窗口长度、滑动步长和FFT点数等。最后,对ASTFT算法多信号分选处理能力进行了仿真分析,根据时频分辨力要求,采用ASTFT方法,在时频域可实现对3个混叠信号的有效分离。ASTFT算法综合考虑了处理速度和精度的要求,通过对关键参数的自适应选择,可实现信号快速搜索及关键数据段的精确处理,满足时频分辨力要求的同时有效提高了处理效率,可实现时频域混叠多雷达信号的有效分选。

An adaptive STFT algorithm (ASTFT)is proposed to sort the time-frequency domain aliased multi-radar signals.First,the ASTFT algorithm is proposed based on the typical STFT algorithm,and the mathematical expression and flow diagram of the ASTFT algorithm are given.Then,the key parameters of ASTFT algorithm are analyzed,including window type,window length,sliding step length and FFT points. Finally,the ASTFT algorithm's multi-signal sorting processing capability are simulated and analyzed.Three time-frequency domain aliasing LFM radar signals are used.According to the time-frequency resolution requirements,after ASTFT processing,three aliased signals can be effectively separated in the time-frequency domain.The ASTFT algorithm comprehensively considers the requirements of processing speed and accuracy. Through the adaptive selection of parameters such as window length,sliding step length and FFT points,it can achieve fast signal search and precise processing of key data segments,meeting the time-frequency resolution requirements with improved processing efficiency.In a word,ASTFT can effectively sort multiple radar signals in the time-frequency domain.