Research On Sorting Of Radar Signals In High-signal-density Environment

Radar signal sorting is a significant issue in electronic countermeasures. Radar pulses are interleaved under high-signal-density environment, while rincipal sorting algorithms are likely based on pulse repetition interval (PRI).In this paper, considering radar scanning characteristic, the influences of pulse amplitude's variation on time of arrival (TOA) measurement are discussed. The infections on PRI estimation, caused by TOA measurement error and PRI transform algorithm itself, are also analyzed. In addition, PRI estimation error and its influence on deinterleaving are described. Accordingly, an improved algorithm for measuring TOA, immunized from pulse amplitude's affection, is proposed, and a deinterleaving algorithm, overcoming the accumulation of PRI error, is also contrived. Simulation results indicate that the proposed sorting algorithms are fit for various kinds of pulse trains under high-signal-density environment.A real-time radar signal sorting platform is designed in the study. The pulse's characteristics used in signal sorting and the system module design are presented. Likewise, the modules programming under DSP software environment is discussed. The algorithm has been realized on a TMS320C6416T DSP platform. When chip's working clock is 1GHz and the pulse train includes 100 pulses from 3 different radar emitters, the processing time is down to 10ms, showing reasonable real-time capacity.