| 雷达辐射源模糊识别算法改进 |
| |
| 引用本文： | 李楠,曲长文,苏峰,平殿发.雷达辐射源模糊识别算法改进[J].电子科技大学学报(社会科学版),2010(2). |
| |
| 作者姓名： | 李楠 曲长文 苏峰 平殿发 |
| |
| 作者单位： | 海军航空工程学院;中国人民解放军91599部队; |
| |
| 基金项目： | 中国博士后科学基金(2005037772) |
| |
| 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0dB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 |
Improved Radar Emitter Fuzzy Identification Algorithm |
| |
| LI Nan,QU Chang-wen,SU Feng, PING Dian-fa.Improved Radar Emitter Fuzzy Identification Algorithm[J].Journal of University of Electronic Science and Technology of China(Social Sciences Edition),2010(2). |
| |
| Authors: | LI Nan QU Chang-wen SU Feng PING Dian-fa |
| |
| Institution: | 1.Naval Aeronautical and Astronautical University Yantai Shandong 264001;2.Unit 91599 of PLA Laiyang Shandong 265200 |
| |
| Abstract: | Radar emitter identification algorithm based on fuzzy theory is improved.By analyzing fuzzy subordinate values and then using evidence 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 algorithm identification rate more than 90% when SNR higher than 0 dB compared with fuzzy identification method. |
| |
| Keywords: | emitter recognition evidence combination fuzzy theory subordinate |
| 本文献已被 CNKI 等数据库收录！ |
|
