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  1. Science in China Series : Information Sciences
  2. Science in China Series : Information Sciences : Volume 53
  3. Science in China Series : Information Sciences : Volume 53, Issue 7, July 2010
  4. Multi-channel radar array design method and algorithm
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Science in China Series : Information Sciences : Volume 61
Science in China Series : Information Sciences : Volume 60
Science in China Series : Information Sciences : Volume 59
Science in China Series : Information Sciences : Volume 58
Science in China Series : Information Sciences : Volume 57
Science in China Series : Information Sciences : Volume 56
Science in China Series : Information Sciences : Volume 55
Science in China Series : Information Sciences : Volume 54
Science in China Series : Information Sciences : Volume 53
Science in China Series : Information Sciences : Volume 53, Issue 12, December 2010
Science in China Series : Information Sciences : Volume 53, Issue 11, November 2010
Science in China Series : Information Sciences : Volume 53, Issue 10, October 2010
Science in China Series : Information Sciences : Volume 53, Issue 9, September 2010
Science in China Series : Information Sciences : Volume 53, Issue 8, August 2010
Science in China Series : Information Sciences : Volume 53, Issue 7, July 2010
Cubic surface fitting to image by combination
Restoration method of characters on Jiagu rubbings based on Poisson distribution and fractal geometry
Analysis of moment invariants under general linear transformation
An improved method for progressive animation models generation
A survey on impulse-radio UWB localization
Learning interactions among multi-channel sequences with dynamical influence models
An unsupervised grid-based approach for clustering analysis
A method for solving Nash equilibria of games based on public announcement logic
Detecting malignant patients via modified boosted tree
Identification and construction of Boolean functions with maximum algebraic immunity
A mathematical model for concept granular computing systems
A novel computing model of the maximum clique problem based on circular DNA
Capacity bounds of transmit beamforming over MISO time-varying channels with imperfect feedback
Precoding scheme maximizing SINR for MIMO broadcast channels
Approximating maximum likelihood performance reduced dimension VBLAST detection algorithm
Target classification with low-resolution radar based on dispersion situations of eigenvalue spectra
An improved imaging algorithm for fixed-receiver bistatic SAR
Multi-channel radar array design method and algorithm
An introduction to Tsinghua Cloud
Science in China Series : Information Sciences : Volume 53, Issue 6, June 2010
Science in China Series : Information Sciences : Volume 53, Issue 5, May 2010
Science in China Series : Information Sciences : Volume 53, Issue 4, April 2010
Science in China Series : Information Sciences : Volume 53, Issue 3, March 2010
Science in China Series : Information Sciences : Volume 53, Issue 2, February 2010
Science in China Series : Information Sciences : Volume 53, Issue 1, January 2010
Science in China Series : Information Sciences : Volume 52
Science in China Series : Information Sciences : Volume 51
Science in China Series : Information Sciences : Volume 50
Science in China Series : Information Sciences : Volume 49
Science in China Series : Information Sciences : Volume 48
Science in China Series : Information Sciences : Volume 47
Science in China Series : Information Sciences : Volume 46
Science in China Series : Information Sciences : Volume 45
Science in China Series : Information Sciences : Volume 44

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Multi-channel radar array design method and algorithm

Content Provider Springer Nature Link
Author Su, Yi Zhu, YuTao Yu, WenXian Xu, HongBo Lei, WenTai
Copyright Year 2010
Abstract The array design of radar antenna is no more a new problem at all. Nevertheless, the array design of multi-channel radar, especially that of MIMO (multiple-input multiple-output) radar, is a new problem. The performance of space diversion and spatial sampling of target scattering are dependent on the array design of MIMO radar, and consequently, which in turn will determine the performances of target parameter estimation, DOA, and imaging. In this paper, commencing with target scattering model, T/R signal model of MIMO radar, and spatial sampling ability for this system are analyzed. Conceptually, under the far field condition, spatial convolution principle determines the array design theory. Based on this idea, array design method and also algorithm are proposed in this paper.
Starting Page 1470
Ending Page 1480
Page Count 11
File Format PDF
ISSN 1674733X
Journal Science in China Series : Information Sciences
Volume Number 53
Issue Number 7
e-ISSN 18691919
Language English
Publisher SP Science China Press
Publisher Date 2010-07-10
Publisher Place Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword MIMO-radar antenna arrays DOA estimation spatial sampling imaging algorithm Information Systems and Communication Service
Content Type Text
Resource Type Article
Subject Computer Science
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