Skip navigation

Combining signals by weighted least square error method for wireless communication networks

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 1473-8031 (Print), 1473-804X (Online)

Full text not available from this repository.

Abstract

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.

Item Type: Article
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
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 14 Oct 2016 09:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/7640

Actions (login required)

View Item View Item