Abstract
This work is related to design certain adaptive equalization and error correction coding and aids to maximal-ratio combining (MRC) in faded wireless channels. The performances derived are analyzed using semianalytic (SA) and Monte Carlo (MC) approaches in order to achieve improvement in bit error rates (BERs) of demodulated signals in wireless channels that have both Gaussian and multipath fading characteristics. Modulation techniques used in this work are bipolar phase shift keying (BPSK), quadrature phase shift keying (QPSK), and differential phase shift keying (DPSK). The work though considers the use of least mean square (LMS), adaptive filter blocks as part of a MRC setup and is tested under SNR variation between \(-\)10 and 10 dB. The results generated justify the use of the adaptive equalizer block as an aid to the MRC setup. The validity of the results is further confirmed by comparing to those obtained via SA approach and MC simulations.
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Choudhury, A., Sarma, K.K. (2015). Adaptive MRC for Stochastic Wireless Channels. In: Sarma, K., Sarma, M., Sarma, M. (eds) Recent Trends in Intelligent and Emerging Systems. Signals and Communication Technology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2407-5_4
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DOI: https://doi.org/10.1007/978-81-322-2407-5_4
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