QUADRATURE COMPRESSIVE SAMPLING FOR RADAR SIGNALS: OUTPUT NOISE AND ROBUST RECONSTRUCTION

被引：0

作者：

Xi, Feng ^{[1
]}

Chen, Shengyao ^{[1
]}

Liu, Zhong ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Dept Elect Engn, Nanjing 210094, Jiangsu, Peoples R China

来源：

2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP) | 2014年

关键词：

Compressive sampling; quadrature demodulation; radar signals; Gaussian noise; RECOVERY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The quadrature compressive sampling (QuadCS) system is a recently developed low-rate sampling system for acquiring inphase and quadrature (I and Q) components of radar signals. This paper investigates the output noise and robust reconstruction of the QuadCS system with the practical nonideal bandpass filter. For independently and identically distributed Gaussian input noise, we find that the output noise is a correlated Gaussian one in the non-ideal case. Then we exploit the correlation property and develop a robust reconstruction formulation. Simulations show that the reconstructed signal-to-noise ratio is enhanced 3-4dB with the robust formulation.

引用

页码：790 / 794

页数：5

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