Combining signals by weighted least square error method for wireless communication networks
Qureshi, Athar, Balasubramanyam, Ramkumar and Rapajic, Predrag (2010) Combining signals by weighted least square error method for wireless communication networks. International Journal of Simulation: Systems, Science and Technology, 11 (6). pp. 8-13. ISSN 1473 804x (online), 1473 8031 (print)Full text not available from this repository.
In this paper we presented weighted least square error method for signal combining for wireless communication in presence of unequal channels noise variance. The method has been commonly used for target tracking and in econometrics. System presented for signal combining by weighted least square error is a receiver with filters at each received branch for the error estimation (noise). The inverse of estimate of channels noise variance used as weights for signal combining to achieve wiener’s solution. The presented scheme of signal combining is particularly useful when wireless communication subject to unequal noise variance which is very common in present wireless communication systems. The performance of our scheme is shown by computer simulation in Gaussian, Rayleigh flat fading and frequrency selective wireless communication channel. The computer simulation performance of the system is about 10−3 bits at 8 dB SNR and about 10−4 at 16 dB SNR in wireless flat fading Raleigh channel with two receive antennas.
|Uncontrolled Keywords:||signal combining, weighted least square error method, un weighted least square error, unequal noise variance|
|Subjects:||Q Science > Q Science (General)|
Q Science > QA Mathematics
Q Science > QC Physics
|School / Department / Research Groups:||School of Engineering|
School of Engineering > Department of Computer & Communications Engineering
|Last Modified:||27 Feb 2012 11:41|
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