Odd symmetry of weights vector in linearly-constrained adaptive arrays with desired signal

The paper discusses the conditions of an odd symmetry in linearly-constrained least squares criterion adaptive array. It is shown, that the vectors, which optimal weight vector of such adaptive array consists of, and the optimal vector itself, have an odd symmetry, i.e. pairs of symmetrical elements...

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Veröffentlicht in:2017 XI International Conference on Antenna Theory and Techniques (ICATT) S. 140 - 144
1. Verfasser: Djigan, V. I.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2017
Schlagworte:
Adaptive algorithms
adaptive array
Adaptive arrays
adaptive filtering algorithm
Adaptive systems
Antenna radiation patterns
Correlation
Linear Constraints
Mathematical model
odd symmetry
Recursive Least Mean Squares (RLS)
Symmetric matrices
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Zusammenfassung:The paper discusses the conditions of an odd symmetry in linearly-constrained least squares criterion adaptive array. It is shown, that the vectors, which optimal weight vector of such adaptive array consists of, and the optimal vector itself, have an odd symmetry, i.e. pairs of symmetrical elements of the vectors are complex-conjugated. To ensure this property, the vector of constrains (radiation pattern values in directions of interest) has to be specified as a real-valued ones. The odd symmetry allows to calculate the weights of the adaptive array in real-valued arithmetic at the cost of two or four times less number of arithmetic operations, comparing with similar calculations, based on complex-valued arithmetics. Adaptive algorithms, based on real-valued arithmetics, provide a 1.5 ... 2 times shorter transient response and a 2 ... 3 dB deeper notches in the steady-state radiation pattern towards interference sources comparing with complex-valued algorithms.
DOI:10.1109/ICATT.2017.7972604