西安电子科技大学学报（自然科学版）2018，Vol.45Issue(1)：12-16,82,6.DOI:10.3969/j.issn.1001-2400.2018.01.003
一种改进的自适应匹配滤波方法
Modified adaptive matched filter
摘要
Abstract
In order to overcome the detection degradation for the conventional detectors in the limited-training environment,a modified adaptive matched filter is proposed by modeling the disturbance as an autoregressive process with unknown parameters.The detector is derived by resorting to a two-step design procedure:first derive the generalized likelihood ratio test under the assumption that the parameters of the autoregressive process are known,and then,the maximum likelihood estimates of the parameters,based on the training data,are substituted in place of the true parameters into the test.The detection performance of the new receiver shows that the proposed receiver can lead to a noticeable performance improvement over the conventional adaptive matched filter. For a moderate size of radar echoes, the proposed detector performs close to the optimum matched filter even in the limited-training environment.关键词
雷达检测/自适应匹配滤波/自回归建模Key words
radar detection/adaptive matched filter/autoregressive process分类
信息技术与安全科学引用本文复制引用
王泽玉,李明,卢云龙..一种改进的自适应匹配滤波方法[J].西安电子科技大学学报（自然科学版）,2018,45(1):12-16,82,6.基金项目
国家自然科学基金资助项目(61271297,61272281,61301284) （61271297,61272281,61301284）
博士学科点科研专项基金资助项目(20110203110001) （20110203110001）
国家部委预研基金资助项目(9140A07020913DZ01001) （9140A07020913DZ01001）
