关键词: 雷达辐射源, 信号分选, 模糊函数主脊切面, 粒子群优化

Abstract: The slice of Ambiguity Function Main Ridge（AFMR） can describe the structural information of the radar signals more completely, and its corresponding characteristic parameters can be as the effective supplement of five classical signal sorting parameters. But the search of AFMR slice needs large amount of calculation, which is against the real-time radar signal deinterleaving. A fast extraction method of AFMR slice which based on the improved particle swarm optimization has been proposed in this paper. This method effectively avoids the algorithm into the local optimal and improves the convergence speed by uniform initializing population, stochastic inertia weight and natural selection technology. The experimental results show that the proposed method can work reliably under the SNR not less than 6 dB, also it can obtain more accurate AFMR slice and increase the search speed significantly at the same time. The results confirm the feasibility and effectiveness of the proposed method.

Key words: radar emitter, signal deinterleaving, ambiguity function main ridge, particle swarm optimization