Title :
The least-squares CMA: A new technique for rapid correction of constant modulus signals
Author_Institution :
University of California, Davis, CA
Abstract :
A new rapidly-converging constant modulus algorithm is presented, analyzed, and demonstrated for a two-sensor array. The algorithm is shown to be globally stable and convergent for any linearly-independent set of input data. The algorithm is also shown to converge significantly (10 to 100 times) faster than the conventional CMA, with negligible (< 1 dB.) convergent misadjustment, in the presence of moderate and severe co-channel interference.
Keywords :
Convergence; Cost function; Data mining; Gaussian approximation; Gaussian processes; Interference; Jacobian matrices; Signal analysis; Signal processing; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1168852