Title :
A low bias algorithm to estimate negative SNRs in an AWGN channel
Author :
Li, Bin ; DiFazio, Robert ; Zeira, Ariela
Author_Institution :
InterDigital Commun. Corp., Melville, NY, USA
Abstract :
Signal-to-noise ratio (SNR) is an important parameter in many receivers. In this letter, we derive a maximum-likelihood estimate of the amplitude of a binary phase-shift keying modulated signal and develop an iterative SNR search algorithm. Low bias is achieved for low SNR.
Keywords :
AWGN channels; amplitude estimation; differential phase shift keying; iterative methods; maximum likelihood estimation; mean square error methods; AWGN channel; BPSK modulated signal; SNR estimation; amplitude estimation; binary phase-shift keying; iterative SNR search algorithm; low bias algorithm; maximum-likelihood estimate; signal-to-noise ratio; AWGN channels; Amplitude estimation; Amplitude modulation; Binary phase shift keying; Iterative algorithms; Maximum likelihood estimation; Phase estimation; Phase modulation; Phase shift keying; Signal to noise ratio;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2002.805546
