Analysis of the eignevalues of the correlation matrix of the input signals to an adaptive antenna array and the possibilities of angular superresolution of external radiation sources

1988 ◽  
Vol 31 (10) ◽  
pp. 885-889 ◽  
Author(s):  
A. B. Gershman ◽  
V. T. Ermolaev
Keyword(s):  
Antenna Array ◽  
Correlation Matrix ◽  
Adaptive Antenna ◽  
External Radiation ◽  
Adaptive Antenna Array ◽  
Radiation Sources ◽  
Input Signals

scholarly journals IMAGE RESTORATION METHOD, INVARIANT TO SIGNAL CORRELATION IN THE INFORMATION SYSTEM WITH ADAPTIVE ANTENNA ARRAY

2020 ◽  
pp. 64-76
Author(s):  
V.V. Skachkov ◽  
Keyword(s):  
Information System ◽  
Image Restoration ◽  
Antenna Array ◽  
Correlation Matrix ◽  
Signal To Noise Ratio ◽  
Weight Vector ◽  
Adaptive Antenna ◽  
Adaptive Antenna Array ◽  
Optimal Weight ◽  
Optimal Weight Vector

The problem of image signal processing in the information system with adaptive antenna array based on the inversion of sample estimates of correlation matrix of observations is considered. The example of the maximum signal-to-noise ratio criterion shows the problem, inherent in classical methods of finding the optimal weight vector under a priori uncertainty conditions when detecting correlated image signals. It has been concluded that the dependence of these methods on the inverse of estimation of the correlation matrix of observations leads to the impossibility of separating correlated image signals. As a consequence, the use of classical methods of finding the optimal weight vector in the information system with adaptive antenna array is effective only in the case of image restoration from a single signal source, with the signal received on the set of independent jamming background. A novel method, invariant to the correlation of image signals, has been developed for finding the optimal weight vector without the usage of correlation matrix of observations. An image restoration algorithm invariant to correlation of image signals in the information system with adaptive antenna array is proposed. Statistical models have been constructed for the classical method based on the criterion of maximum signal-to-noise ratio and invariant to correlation method of image restoration in following cases: a single source against the jamming background of two independent sources; two independent sources against the jamming background. Simulation results in the information system with adaptive antenna array are presented, showing to visually assess efficiency of proposed methods of image signal restoration using optimal weight vector. Detailed analysis of the results obtained is carried out.

A MULTI INTERFERENCE CANCELLER USING LMF AND LMS ADAPTIVE ANTENNA ARRAY

2001 ◽  
Vol 9 (ASAT Conference, 8-10 May 2001) ◽  
pp. 1-18
Author(s):  
SOLEIT* A. ◽  
ALLAM M. ◽  
EL-BARBARY A. ◽  
HENEIDI Z.
Keyword(s):  
Antenna Array ◽  
Adaptive Antenna ◽  
Adaptive Antenna Array ◽  
Interference Canceller

Adaptive antenna array processing with kernels

2007 ◽  
Author(s):  
M. Martinez-Ramon ◽  
A. Navia-Vazquez ◽  
C.G. Christodoulou ◽  
A.R. Figueiras-Vidal
Keyword(s):  
Antenna Array ◽  
Array Processing ◽  
Adaptive Antenna ◽  
Adaptive Antenna Array

Wave Arrival Direction Estimation Adaptive Antenna Array with Music Algorithms

2011 ◽  
Vol 179-180 ◽  
pp. 1342-1345
Author(s):  
Ping Chuan Zhang ◽  
Li Min Hou ◽  
Bu Yin Li
Keyword(s):  
Antenna Array ◽  
Research Field ◽  
Radar System ◽  
Adaptive Antenna ◽  
Passive Radar ◽  
Arrival Direction ◽  
Matlab Simulation ◽  
Adaptive Antenna Array ◽  
Direction Estimation ◽  
Wave Arrival

Passive radar based on GSM is a hot research field of new illuminators passive radars, and the wave arrival direction estimation is the key problem for detecting target. This paper designed adaptive antenna array for the GSM passive radar system, and give the complete Matlab simulation to verify the execution of the schedule, meanwhile, the result shows that the MUSIC algorithms is high accurate in the wave arrival direction compared with the Capon. All of this made a useful contribution to the research and application of the GSM-based passive radar.

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