DocumentCode :
2734149
Title :
Low complexity method to estimate co-channel signals using an antenna array
Author :
Shishir, K.L. ; Hari, K.V.S. ; Wichman, Risto
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
1999
fDate :
1999
Firstpage :
97
Lastpage :
100
Abstract :
The estimation of binary, co-channel digital signals in a mobile multipath time-varying environment has been developed. However, it is computationally expensive since it involves the singular value decomposition (SVD) of large matrices. In this paper, a low-complexity variant for the estimation of co-channel binary signals has been developed, which uses iterative least squares with projection (ILSP) and iterative least squares with enumeration (ILSE) directly on the received data. The variant developed here exploits the structure in the signal matrix to reduce the complexity required for estimation of the signals. It has been found that though the algorithm is suboptimal, the bit error rate (BER) performance is quite satisfactory, while the computational complexity is reduced to great extent
Keywords :
antenna arrays; cochannel interference; computational complexity; digital radio; error statistics; iterative methods; least squares approximations; mobile radio; multipath channels; parameter estimation; time-varying channels; BER; antenna array; binary signals; bit error rate; co-channel signal estimation; computational complexity; iterative least squares with enumeration; iterative least squares with projection; mobile multipath time-varying environment; performance; Antenna arrays; Computational complexity; Convolution; Data models; Iterative algorithms; Least squares approximation; Matrix decomposition; Numerical simulation; Sensor arrays; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Wireless Communication, 1999 IEEE International Conference on
Conference_Location :
Jaipur
Print_ISBN :
0-7803-4912-1
Type :
conf
DOI :
10.1109/ICPWC.1999.759593
Filename :
759593
Link To Document :
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