20092009 IEEE/SP 15th Workshop on Statistical Signal ProcessingRequires access

A region-based algorithm for blind equalization of QAM signals

João Mendes Filho, Magno T. M. Silva, María Dolores Martínez Miranda, Vítor H. Nascimento

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Abstract

We propose a region-based multimodulus algorithm for blind equalization of high-order quadrature amplitude modulation (QAM) signals. It treats nonconstant modulus constellations as constant modulus ones, converging approximately to the Wiener solution. To avoid divergence, it rejects non-consistent estimates of the transmitted signal. When compared to existing blind multimodulus-type algorithms for equalization of QAM signals, it exhibits considerably lower misadjustment, faster convergence, good tracking capability, without compromising the computational cost. Its good behavior is illustrated through simulation results.

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What this paper is about

We propose a region-based multimodulus algorithm for blind equalization of high-order quadrature amplitude modulation (QAM) signals. It treats nonconstant modulus constellations as constant modulus ones, converging approximately to the Wiener solution. To avoid divergence, it rejects non-consistent estimates of the transmitted signal. When compared to existing blind multimodulus-type algorithms for equalization of QAM signals, it exhibits considerably lower misadjustment, faster convergence, good tracking capability, without compromising the computational cost. Its good behavior is illustrated through simulation results.

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Available abstract

We propose a region-based multimodulus algorithm for blind equalization of high-order quadrature amplitude modulation (QAM) signals. It treats nonconstant modulus constellations as constant modulus ones, converging approximately to the Wiener solution. To avoid divergence, it rejects non-consistent estimates of the transmitted signal. When compared to existing blind multimodulus-type algorithms for equalization of QAM signals, it exhibits considerably lower misadjustment, faster convergence, good tracking capability, without compromising the computational cost. Its good behavior is illustrated through simulation results.

Key concepts: QAM, Blind equalization, Quadrature amplitude modulation, Algorithm, Convergence (economics), Equalization (audio), Divergence (linguistics), Constant (computer programming)

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