Digital orthogonal receiver for wideband radar based on compressed sensing

Qingkai Hou; Yang Liu; Zengping Chen; Shaoying Su

doi:10.1117/12.2067016

31 October 2014 Digital orthogonal receiver for wideband radar based on compressed sensing

Qingkai Hou, Yang Liu, Zengping Chen, Shaoying Su

Proceedings Volume 9254, Emerging Technologies in Security and Defence II; and Quantum-Physics-based Information Security III; 925411 (2014) https://doi.org/10.1117/12.2067016
Event: SPIE Security + Defence, 2014, Amsterdam, Netherlands

Abstract

Digital orthogonal receiver is one of the key techniques in digital receiver of soft radar, and compressed sensing is attracting more and more attention in radar signal processing. In this paper, we propose a CS digital orthogonal receiver for wideband radar which utilizes compressed sampling in the acquisition of radar raw data. In order to reconstruct complex signal from sub-sampled raw data, a novel sparse dictionary is proposed to represent the real-valued radar raw signal sparsely. Using our dictionary and CS algorithm, we can reconstruct the complex-valued radar signal from sub-sampled echoes. Compared with conventional digital orthogonal radar receiver, the architecture of receiver in this paper is more simplified and the sampling frequency of ADC is reduced sharply. At the same time, the range profile can be obtained during the reconstruction, so the matched filtering can be eliminated in the receiver. Some experiments on ISAR imaging based on simulated data prove that the phase information of radar echoes is well reserved in our orthogonal receiver and the whole design is effective for wideband radar.

Citation Download Citation

Qingkai Hou, Yang Liu, Zengping Chen, and Shaoying Su "Digital orthogonal receiver for wideband radar based on compressed sensing", Proc. SPIE 9254, Emerging Technologies in Security and Defence II; and Quantum-Physics-based Information Security III, 925411 (31 October 2014); https://doi.org/10.1117/12.2067016

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KEYWORDS

Radar

Receivers

Reconstruction algorithms

Analog electronics

Associative arrays

Clocks

Compressed sensing

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