Earticle

초록

영어

The matched filter is often used for the radar receiving terminal, but such application in wideband radar may cause complex system and high cost. The adoption of compressed sensing can not only remove the matched filter and the high-speed analog-digital converter, but also realize high-resolution radar imaging. In consideration of the sparseness of the radar target scene, a compressed sensing method used for chaotic radar is proposed in this article, wherein the chaotic frequency-modulated signal is generated by Bernoulli mapping and the randomness of such signal can be directly used for constructing the observation matrix. Meanwhile, the under-sampled echo signal can be used for radar scene reconstruction through the optimization technology. According to the simulation of stationary and non-stationary target radar scenes, compared with the matched filter processing technology, the proposed method has simple processing procedure and optimal performance, and the feasibility of this method is also verified by the simulation result.

목차

Abstract
 1. Introduction
 2. Compressed Sensing
  2.1. Observation Matrix
  2.2. Reconstruction Algorithm
 3. Chaotic Imaging Radar based on Compressed Sensing
 4. Simulation and Result Analysis
  4.1. Stationary Target Simulation
  4.2. Dynamic Target Simulation
 5. Conclusion
 References

키워드

저자

• Li Wenjuan [ College of Mobile Telecommunications Chongqing University of Posts and Telecom, Hechuan, Chongqing, China ]
• Yang Haolan [ College of Optoelectronic Engineering Chongqing University of Posts and Telecom, Nanan, Chongqing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605