| The de-interleaving and identification of radar emitter signal is a critical element of radar EW and reconnaissance systems and the nucleus content of radar countermeasure information processing. Radar emitter signal de-interleaving based on pulse repetition interval (PRI), intra-pulse analysis and radar emitter identification methods based on the fuzzy comprehensive evaluation and information fusing are studied in the paper.For the radar emitter signal de-interleaving, the conventional signal de-interleaving algorithms based on PRI have no ideal recognition performance for separating the constant fixed, jittered and staggered PRI. Then we put forward an improved statistical variance method of the arriving time with the same interval in this paper. This method is formed from comparing this variance with a threshold, which can separate the fixed, jittered and staggered PRI. And the threshold is also illustrated here.For the radar emitter signal intra-pulse analysis, the methods of time domain, frequency domain and time-frequency domain are compared first. Then a parallel processing method, which can bring the better veracity, is introduced based on the character from the aforementioned three intra-pulse analysis methods.For the radar radiant signal identification, the measurement of signal character is uncertain. Then the method which integrates the fuzzy comprehensive evaluation and the information fusing based on DS evidence theory is pointed out. The effects of composed operator in the fuzzy comprehensive evaluation processing and the three factors in DS evidence reasoning including fused times, noise and trust degree of each evidences are particularly analyzed and widely simulated. Results have shown the availability of the proposed methods. |
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