Square contour algorithm for blind equalization of QAM signals
Signal Processing - Special section: Distributed source coding
A configurable fractionally-spaced blind adaptive equalizer for QAM demodulators
Digital Signal Processing
EURASIP Journal on Wireless Communications and Networking
New blind equalization techniques based on improved square contour algorithm
Digital Signal Processing
Soft Decision-Directed Square Contour Algorithm for Blind Equalization
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Nonlinearity estimation for specific emitter identification in multipath environment
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Equalization and carrier phase recovery of CMA and MMA in blind adaptive receivers
IEEE Transactions on Signal Processing
Blind carrier phase acquisition and tracking for 8-VSB signals
IEEE Transactions on Communications
Blind equalization of square-QAM signals: a multimodulus approach
IEEE Transactions on Communications
Digital Signal Processing
Effects of source distributions on CMA and MMA using symmetric two-dimensional signal constellations
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
A novel blind equalizer based on dual-mode MCMA and DD algorithm
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
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This paper presents a new blind equalization algorithm called multimodulus algorithm (MMA). This algorithm combines the benefits of the well-known reduced constellation algorithm (RCA) and constant modulus algorithm (CMA). In addition, MMA provides more flexibility than RCA and CMA, and is better suited to take advantage of the symbol statistics of certain types of signal constellations, such as nonsquare constellations, very dense constellations, and some wrong solutions