SMI adaptive antenna arrays for weak interfering signals
Abstract
The performance of adaptive antenna arrays in the presence of weak interfering signals (below thermal noise) is studied. It is shown that a conventional adaptive antenna array sample matrix inversion (SMI) algorithm is unable to suppress such interfering signals. To overcome this problem, the SMI algorithm is modified. In the modified algorithm, the covariance matrix is redefined such that the effect of thermal noise on the weights of adaptive arrays is reduced. Thus, the weights are dictated by relatively weak signals. It is shown that the modified algorithm provides the desired interference protection.
 Publication:

IEEE Transactions on Antennas and Propagation
 Pub Date:
 October 1986
 DOI:
 10.1109/TAP.1986.1143745
 Bibcode:
 1986ITAP...34.1237G
 Keywords:

 Adaptive Control;
 Antenna Arrays;
 Interference Immunity;
 Satellite Communication;
 Covariance;
 Matrices (Mathematics);
 Signal To Noise Ratios;
 Thermal Noise;
 Weighting Functions;
 Communications and Radar