Channel estimation using minimum bit error rate framework for BPSK signals

Dutta, Amit Kumar and Hari, KVS (2011) Channel estimation using minimum bit error rate framework for BPSK signals. In: IEEE 73rd Vehicular Technology Conference (VTC Spring), 15-18 May 2011, Budapest, Hungary.

PDF ieee_73_vtc_1-5_2011.PDF - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

We consider the design of a linear equalizer with a finite number of coefficients in the context of a classical linear intersymbol-interference channel with additive Gaussian noise for channel estimation. Previous literature has shown that Minimum Bit Error Rate(MBER) based detection has outperformed Minimum Mean Squared Error (MMSE) based detection. We pose the channel estimation problem as a detection problem and propose a novel algorithm to estimate the channel based on the MBER framework for BPSK signals. It is shown that the proposed algorithm reduces BER compared to an MMSE based channel estimation when used in MMSE or MBER detection.

Item Type:	Conference Proceedings
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Keywords:	MBER; MMSE; ISI; Channel Estimation
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	03 Apr 2013 09:07
Last Modified:	03 Apr 2013 09:07
URI:	http://eprints.iisc.ac.in/id/eprint/46186

Actions (login required)

View Item