Quadrature Compressive Sampling for Radar Signals
Quadrature Compressive Sampling for Radar Signals
复制标题
雷达信号的正交压缩采样
DOI:
10.1109/tsp.2014.2315168
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发表时间:
2014-01
影响因子:
5.4
通讯作者:
Liu, Zhong
中科院分区:
文献类型:
--
作者:
Xi, Feng;Chen, Shengyao;Liu, Zhong
Quadrature sampling has been widely applied in coherent radar systems to extract in-phase and quadrature ( I and Q) components in the received radar signal. However, the sampling is inefficient because the received signal contains only a small number of significant target signals. This paper incorporates the compressive sampling (CS) theory into the design of the quadrature sampling system, and develops a quadrature compressive sampling (QuadCS) system to acquire the I and Q components with low sampling rate. The QuadCS system first randomly projects the received signal into a compressive bandpass signal and then utilizes the quadrature sampling to output compressive I and Q components. The compressive outputs are used to reconstruct the I and Q components. To understand the system performance, we establish the frequency domain representation of the QuadCS system. With the waveform-matched dictionary, we prove that the QuadCS system satisfies the restricted isometry property with overwhelming probability. For K target signals in the observation interval T, simulations show that the QuadCS requires just O(Klog(BT/K)) samples to stably reconstruct the signal, where B is the signal bandwidth. The reconstructed signal-to-noise ratio decreases by 3 dB for every octave increase in the target number K and increases by 3 dB for every octave increase in the compressive bandwidth. Theoretical analyses and simulations verify that the proposed QuadCS is a valid system to acquire the I and Q components in the received radar signals.
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影响因子:
2.3
作者:
M. Talagrand
通讯作者:
M. Talagrand
DOI:
10.1137/100785028
发表时间:
2011-10
期刊:
SIAM J. Optim.
影响因子:
--
作者:
E. Berg;M. Friedlander
通讯作者:
E. Berg;M. Friedlander
DOI:
10.1017/cbo9780511794308
发表时间:
2012
期刊:
--
影响因子:
--
作者:
Gitta Kutyniok
通讯作者:
Gitta Kutyniok
DOI:
10.1109/milcom.2010.5680110
发表时间:
2010-10
期刊:
2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE
影响因子:
--
作者:
T. Petros;M. Salman Asif
通讯作者:
T. Petros;M. Salman Asif
DOI:
10.1090/surv/089
发表时间:
2001
期刊:
--
影响因子:
--
作者:
M. Ledoux
通讯作者:
M. Ledoux