the 雷达辐射源模糊识别算法改进guide download.pdf

第39卷第2期电子科技大学学报 V 20 10年3月 Journal of University of Electronic Science and T echnology of China Mar. 2010 雷达辐射源模糊识别算法改进李楠 1,2,曲长文 1,苏峰 1,平殿发 1?( 1. 海军航空工程学院山东烟台 264001; 2. 中国人民解放军 91599部队山东莱阳 265200) 【摘要】改进了复杂电磁环境下雷达辐射源模糊识别算法。改进算法通过证据组合对模糊隶属度进行融合,很好地解决了识别中的不确定性, 错误的识别结果经过融合后得到去除。采用最优隶属准则进行雷达辐射源类别决策, 融合后的辐射源正确识别率得到明显提高。仿真结果及对比实验表明, 相比于模糊识别算法, 信噪比不小于 0 dB时,改进算法的正确识别率大于 90%。关键词辐射源识别; 证据组合; 模糊理论; 隶属度中图分类号 O235 文献标识码 A doi:.1001- Improved Radar Emitter Fuzzy Identification Algorithm LI Nan 1,2, QU Chang- wen 1, SU Feng 1, and PING Dian- fa 1 (1. Naval Ae ronautical and Astronautical University Yantai Shan dong 264001; 2. Unit 91599 of PLA Laiyang Shan dong 265200) Abstract Radar emitter identification algorithm based on fuzzy theory is improved. By analyzing fuzzy subordinate values and then using evi dence combination principle to combine these values, the recognition uncertainty is solved . The class decision- making is carried out based on optimization subordinate rule, the accurate recognition rate is increased. Simulation experiment shows that new al gorithm identification rate more than 90% when SNR higher than 0 par ed with fuzzy identification method. Key words emitter recognition; bination;