The Constrained Affine Projection Algorithm — Development and Convergence Issues
نویسندگان
چکیده
This paper introduces the constrained version of the Affine Projection Algorithm. The new algorithm is suitable for linearly-constrained minimum-variance applications, which include beamforming and multiuser detection for communications systems. The paper also discusses important aspects of convergence and stability of constrained normalized adaptation algorithms in general. It is shown that normalization may introduce bias in the final solution. Computer simulations are also included providing extra insight to the algorithm performance.
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