The use of signal blocking to improve the performance of a directional constrained adaptive array with real-symmetric weights is proposed. With signal blocking, the adapted beamwidth of the array is broadened, thereby...
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The use of signal blocking to improve the performance of a directional constrained adaptive array with real-symmetric weights is proposed. With signal blocking, the adapted beamwidth of the array is broadened, thereby reducing the effect of pointing errors, and the output signal-to noise-plus-interference ratio (SNIR) converges with less signal samples. A modified sample matrix inversion (SMI) algorithm is described, which allows the adaptive weight vector to be computed more efficiently. Computer simulation results are presented for illustration.
A single directional constrained adaptive array using symmetric amplitude control is presented. The adaptive algorithm is based on the method of projection gradient. The steady-state and transient performances of the ...
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A single directional constrained adaptive array using symmetric amplitude control is presented. The adaptive algorithm is based on the method of projection gradient. The steady-state and transient performances of the array are investigated. Detailed transient analysis for the case of one interference source is performed to get further insight. Results are compared with those obtained with conventional complex weights. It is shown that the new array has a faster real-time convergent rate and its optimal output SNIR is less susceptible to pointing errors.
The effect of pointing errors on the performance of the directional constrained adaptive array using symmetric amplitude control can be reduced by correcting the zeros of the array polynomial. The effect can be furthe...
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The effect of pointing errors on the performance of the directional constrained adaptive array using symmetric amplitude control can be reduced by correcting the zeros of the array polynomial. The effect can be further reduced by adding an extra pair of zeros to the array polynomial. Examples are given to illustrate the effectiveness of these methods.
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