摘要
基于传统奈曼-皮尔逊检测准则的宽带雷达回波信号检测需要较高的采样率,而压缩感知新理论可以以低于乃奎斯特采样率采样信号实现稀疏信号重构。本文提出了基于压缩感知测量值的宽带雷达回波信号奈曼-皮尔逊检测准则,它直接选取宽带雷达回波信号的压缩感知测量值作为检验统计量,在给定虚警概率时,依据贝叶斯判定准则得到检测概率,并将其推广到多元假设检测。基于实测宽带雷达回波信号的实验结果验证了该准则的可行性,它可以用较少的测量值实现目标有效检测。
The wideband radar echo signal detection based on traditional Neyman-Pearson Detection(NPD)rule requires high sampling rate.However,the new compressed sensing(CS)theory can be used to realize reconstruction of sparse signal by using sampling signal lower than Nyquist sampling rate.The wideband radar echo signal Neyman-Pearson detection rule based on CS measurements is presented.It selects CS measurements of wideband radar echo signal directly as test statistic,and detection probability is obtained on basis of Bayesian determinant rule when false alarm rate is given.The detection probability can be popularized to multiple-hypothesis detection.The feasibility of the rule is verified by experimental result on basis of measured wideband radar echo signal.It can use less measurement to implement effective detection of targets.
作者
张晓伟
杨咚咚
Zhang Xiaowei;Yang Dongdong(Huanghe Group Ltd.Cor.of Shaanxi,Xi'an 710043)
出处
《火控雷达技术》
2017年第4期1-6,共6页
Fire Control Radar Technology
基金
国家自然科学基金青年基金(61403304)
陕西省创新人才推进计划-青年科技新星项目(2017KJXX-30)
