Radar Echo Signal Detection with Sparse Representations

摘要：

Sparse decomposition can explore the most important or interesting features of a signal, thus it is very favorable in data compression, noise reduction, signal analysis, correction and other applications. In this paper, we propose a method of radar echo signal detection with sparse representations. In the proposed method, we first design a waveform-matched dictionary according to the a priori knowledge of the transmitted signal to sparsely represent the radar echo signaL The components in the dictionary have exactly the same waveform as the transmitted signaL With this dictionary, the echo signals of a given radar system have very sparse representation. Lising the sparse representation based on the waveform-matched dictionary, the radar echo detection can bi achieved. Simulation results show that the proposed method is effective and has the high anti-noise ability.

关键词： Sparse decomposition overcomplete dictionary radar echo signal linear frequency-modulated signal

作者: Dahua Gao Danhua Liu Youqian Feng Qinli An Fuping Yu

作者单位: School of Science, Air Force Engineering University, Xian, 710051, P. R.China School of Electronic School of Electronic Engineering, Xidian University, Xian, 710071. P. R. China School of Science, Air Force Engineering University, Xian, 710051, P. R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1335-1338

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）