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Constrained least squares in adaptive, imperfect arrays

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1 Author(s)
Najm, W.G. ; Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA

Two new constrained deterministic least-squares algorithms are presented which are capable of enabling a narrow-band zero-order generalized sidelobe canceller (SLC), in the presence of array imperfections, to null out jammers while preserving the friendly look-direction signal with minimal a priori knowledge of the signal environment. The algorithms are capable of solving deterministic least-squares optimization problems subject to an equality constraint in an iterative, adaptive manner by imposing a `soft' constraint via the quadratic penalty function optimization method. The first algorithm is based on the matrix inversion lemma while the second is obtained by means of QR-decomposition using new three-dimensional Givens (1958) rotations and implemented with a systolic array architecture. These new constrained algorithms improve system performance when an artificial injection of a receiver noise vector is introduced

Published in:

Antennas and Propagation, IEEE Transactions on  (Volume:38 ,  Issue: 11 )

Date of Publication:

Nov 1990

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