基于相参特性的雷达信号分选中“增批”问题研究

Research on Increasing-Batch Problem in the Progress of Sorting of Signals Based on Coherency

一部雷达可以在不同时间段内大范围跨波段工作,基于现行信号分选方法,常出现"增批"问题。利用信号相参特性,基于雷达本振初相不变性原理,提出求和曲线斜率判别法,对同一辐射源和不同辐射源信号进行分选仿真,并进行了误差分析。仿真结果表明,方法能够解决信号分选过程中的"增批"问题,当信噪比高于5 dB,并且测频误差在小于200 kHz时,分选准确率可以达到98%以上。

Radar can work on different bands in different time periods, which results in increasingbatch problem based on the present signal sorting methods. The slope discrimination is put forward using the coherency of signal based on the theory of invariance of the initial phase of LO. The same signal and different radiant points are separated and simulated, and the error of algorithm by simulation is analyzed The results indicate that the method can solve the increasin signals effectively. When the SNR is higher than 5 dB and g-batch probl the absolute less than 200 kHz, the accuracy of sorting can reach up to 98% em in the progress of sorting of error of frequency measuring is