Title :
Isometric data sequences and data-modulation schemes in fading channels
Author :
Lam, Stephen ; Plataniotis, Kostas N. ; Pasupathy, Subbarayan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
fDate :
3/1/2004 12:00:00 AM
Abstract :
In multiplicative fading channels, joint channel estimation and data detection (CE/DD) schemes cannot differentiate among certain sequences of amplitude- and/or phase-modulated (AM/PM) symbols drawn from rotationally invariant signal constellations. This paper identifies these so-called isometric sequences as the main source of performance degradation, and introduces a unifying framework that effectively solves the problem by using asymmetric signal constellations (ASC) and a normalized innovations-based detector. The encompassing nature of the solution is clearly demonstrated by showing that seemingly unrelated previous results, such as training-based solutions, can be viewed as special cases of the modulation-based solution discussed here. A comprehensive analysis, supported by simulation studies, of the relationships among modulation schemes, isometry, and detection performance is provided. Results indicate that the proposed ASC solution offers excellent performance without incurring significant complexity or reducing the transmission rate. Furthermore, it is shown to be robust in various fading rates, and for different signal constellations.
Keywords :
Kalman filters; amplitude modulation; channel estimation; fading channels; maximum likelihood detection; mobile communication; phase shift keying; sequences; Kalman filtering; amplitude symbol; asymmetric signal constellations; data detection; data modulation scheme; isometric data sequences; isometry; joint channel estimation; maximum-likelihood detection; modulation-based solution; multiplicative fading channels; normalized innovations-based detector; phase-amplitude symbol; training-based solution; transmission rate; AWGN; Channel estimation; Constellation diagram; Detectors; Estimation error; Fading; Maximum likelihood detection; Maximum likelihood estimation; Phase detection; Phase modulation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2004.823591