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A Low-Complexity Maximum-Likelihood Detector for Differential Media-Based Modulation

Naresh, Y and Chockalingam, A (2017) A Low-Complexity Maximum-Likelihood Detector for Differential Media-Based Modulation. In: IEEE COMMUNICATIONS LETTERS, 21 (10). pp. 2158-2161.

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Official URL: http://dx.doi.org/10.1109/LCOMM.2017.2687921

Abstract

Media-based modulation (MBM) uses radio frequency mirrors at the transmit antenna in order to create different channel fade realizations based on their ON/OFF status. These complex fade realizations constitute the channel modulation alphabet. This channel modulation alphabet has to be estimated a priori at the receiver for detection. In this letter, we present a differential MBM (DMBM) scheme which does not require estimation of channel modulation alphabet at the receiver for detection. Consecutive MBM blocks are differentially encoded. We propose a low-complexity maximum-likelihood detection algorithm for DMBM. Simulation results show that the DMBM has only about 2-4 dB performance loss compared with MBM with perfect knowledge of the channel alphabet.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 23 Dec 2017 09:22
Last Modified: 23 Dec 2017 09:22
URI: http://eprints.iisc.ac.in/id/eprint/58474

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