Title :
A combination of two adaptive algorithms SMI and CMA
Author :
Yonezawa, Rumiko ; Hirata, Kazufumi ; Kirimoto, Tetsuo ; Chiba, Isamu
Author_Institution :
Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kanagawa, Japan
Abstract :
A combination of two major adaptive algorithms, the SMI (sample matrix inversion) method and the CMA (constant modulus algorithm), is presented. The idea is to use the SMI method to determine the initial weights for the CMA operation. Although the merit of the CMA, being a blind algorithm, is not fully taken advantage of, the good aspects of both the SMI and CMA can be introduced. By this approach, two major problems of the CMA can be solved, the ill convergence with false solution when the interfering signal is stronger than the desired signal and its slow convergence time. Simulation results are shown to confirm the theory
Keywords :
adaptive antenna arrays; adaptive signal processing; array signal processing; convergence of numerical methods; interference (signal); matrix inversion; signal sampling; CMA; QPSK; SMI; adaptive algorithms; adaptive antenna array; adaptive digital filtering; blind adaptive beamforming; blind algorithm; constant modulus algorithm; desired signal; false solution; ill convergence solution; interfering signal; sample matrix inversion; simulation results; slow convergence time; Adaptive algorithm; Adaptive arrays; Array signal processing; Convergence; Covariance matrix; Equations; Filtering algorithms; Information technology; Interference; Research and development;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.775683
