摘要
传统脉内特征分析算法具有只能识别较少调制类型的局限,本文提出一种可以分析带有脉内混合调制的复杂雷达信号识别算法。该算法先通过循环谱相关的分析方法对脉内调制类型进行粗识别,然后通过小波去噪预处理与小波变换的分析方法将混合调制信号转化为常见调制信号,最后通过频谱与二次方谱联合分析法将混合调制信号进行分类,实现了对多种复杂脉内调制信号的识别。仿真结果表明,在较低信噪比下该算法仍然具有较好的性能。
The conventional in-pulse signature analysis algorithms have the limitation that the signals with only a few modulation types can be identified. A complex radar signal identification algorithm with in-pulse mixed modulation is proposed. Firstly,the in-pulse modulation types are identified roughly through the analysis method related to the cyclic spectrum. Secondly,the mixed modulation signals are converted to the common modulation signals through the analysis method of the wavelet de-noising preprocessing and the wavelet transform( WT). Finally,the mixed modulation signals are classified through the frequency and square spectrum combined analysis method,realizing the identification of various complex in-pulse modulation signals. The simulation results indicate that the algorithm still has good performance at a very low SNR.
出处
《雷达与对抗》
2017年第3期27-30,共4页
Radar & ECM
关键词
复杂脉内调制
识别算法
仿真分析
complex in-pulse modulation
identification algorithm
simulation analysis
