基于正交压缩采样系统的脉冲雷达回波信号实时重构方法

doi:10.11999/JEIT150767

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摘要

正交压缩采样是低速获取带通模拟信号同相和正交分量的新型模信转换系统，可广泛应用于雷达、通信等电子系统。但是对于宽带或超宽带脉冲雷达，重构奈奎斯特率的全程回波信号需要大的存储空间和计算量，以致于难以实现实时重构。该文在对正交压缩采样系统特性进行分析的基础上，将测量矩阵近似成一种具有特殊带状结构的矩阵，然后采用分段滑动重构思想实现实时重构。仿真结果表明，在对测量矩阵进行合理近似的基础上，该文提出的重构方法可以极大地节省存储空间和计算时间，实现近似最优的重构性能。

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	张素玲
	席峰
	陈胜垚
	刘中

关键词 ：雷达信号处理, 分段滑动重构, 正交压缩采样, 模拟信息转换

Abstract：

Quadrature Compressive Sampling (QuadCS) is an efficient Analog-to-Information Conversion (AIC) system to sample band-pass analog signals at sub-Nyquist rates. The QuadCS can be widely used in radar and communication systems to acquire sub-Nyquist samples of inphase and quadrature components. However, for wideband or ultra-wideband pulsed radars, it is often impractical to reconstruct Nyquist samples of full-range echoes in real-time because of huge storage and computational loads. Based on the characteristics of QuadCS system, an approximate scheme is proposed to transform the QuadCS measurement matrix into a matrix with a special banded structure. With the banded matrix, a segment-sliding reconstruction method is adopted to perform real-time reconstruction. Simulation results show that with a reasonable approximation of the measurement matrix, the proposed reconstruction scheme achieves nearly optimal reconstruction performance with a significant reduction of data storage and computational time.

Key words： Radar signal processing Segment-sliding reconstruction Quadrature compressive sampling Analog-to- Information Conversion (AIC)

收稿日期: 2015-06-29 出版日期: 2016-03-30

PACS:

TN958

基金资助:

国家自然科学基金(61171166, 61401210, 61571228)，中国博士后科学基金(2014M551597)

通讯作者: 刘中：男，1963年生，教授，研究方向为信号处理、雷达和通信技术、混沌与信息动力学等. E-mail: eezliu@njust.edu.cn

作者简介: 张素玲：女，1985年生，博士生，研究方向为压缩采样、雷达信号处理. 席峰：男，1980年生，副教授，研究方向为压缩采样、雷达信号处理、传感器网络. 陈胜垚：男，1985年生，副教授，研究方向为压缩采样、雷达信号处理、混沌同步和参数估计. 刘中：男，1963年生，教授，研究方向为信号处理、雷达和通信技术、混沌与信息动力学等.

引用本文:

张素玲,席峰,陈胜垚,刘中. 基于正交压缩采样系统的脉冲雷达回波信号实时重构方法[J]. 电子与信息学报, 2016, 38(5): 1064-1071. ZHANG Suling, XI Feng, CHEN Shengyao, LIU Zhong. A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling. JEIT, 2016, 38(5): 1064-1071.

链接本文:

http://jeit.ie.ac.cn/CN/10.11999/JEIT150767 或 http://jeit.ie.ac.cn/CN/Y2016/V38/I5/1064

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