Title :
A maximum likelihood digital receiver using coordinate ascent and the discrete wavelet transform
Author :
Sharfer, Ilan ; Hero, Alfred O., III
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
3/1/1999 12:00:00 AM
Abstract :
In this paper, a maximum likelihood (ML) method is presented for joint estimation of amplitude, phase, time delay, and data symbols in a single-user direct-sequence spread-spectrum communication system. Since maximization of the likelihood function is analytically intractable, a novel coordinate ascent algorithm is used to obtain sequential updates of the data symbols and all unknown nuisance parameters. The novelty of the algorithm is due to the use of a multiresolution expansion of the received signal and the use of polynomial rooting in the complex plane in place of a line search over the signal delay parameter. The multiresolution structure of the algorithm is exploited to reduce sensitivity to impulsive noise via wavelet thresholding. Computer simulations of the single-user system show that the algorithm has fast convergence, and comparison with theoretical lower bounds establishes that the algorithm achieves nearly optimal error performance
Keywords :
amplitude estimation; convergence of numerical methods; delay estimation; digital radio; discrete wavelet transforms; impulse noise; maximum likelihood estimation; phase estimation; polynomials; radio receivers; signal resolution; spread spectrum communication; amplitude; convergence; coordinate ascent; data symbols; discrete wavelet transform; impulsive noise; joint estimation; maximum likelihood digital receiver; multiresolution expansion; nearly optimal error performance; phase; polynomial rooting; received signal; sequential updates; single-user direct-sequence spread-spectrum communication system; time delay; unknown nuisance parameters; wavelet thresholding; Algorithm design and analysis; Amplitude estimation; Communication systems; Delay effects; Delay estimation; Maximum likelihood estimation; Phase estimation; Polynomials; Signal resolution; Spread spectrum communication;
Journal_Title :
Signal Processing, IEEE Transactions on