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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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)

Received: 29 June 2015 Published: 30 March 2016

PACS:

TN958

Fund:

The National Natural Science Foundation of China (61171166, 61401210, 61571228), China Postdoctoral Science Foundation (2014M551597)

Corresponding Authors: LIU Zhong E-mail: eezliu@njust.edu.cn

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	Articles by authors
	ZHANG Suling
	XI Feng
	CHEN Shengyao
	LIU Zhong

Cite this article:

ZHANG Suling,XI Feng,CHEN Shengyao等. A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling[J]. JEIT, 2016, 38(5): 1064-1071.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150767 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I5/1064

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