Sinusoidal parameter estimation from signed measurements obtained via time-varying thresholds

We consider the problem of sinusoidal parameter estimation using signed observations obtained via one-bit sampling with time-varying thresholds. In a previous paper, a relaxation based algorithm, referred to as IbRELAX, has been proposed to iteratively maximize the likelihood function. However, IbRELAX can only he used in applications involving a small number of sinusoids due to the time-consuming exhaustive search procedure needed in each iteration. In this paper, we present a majorizalion-minimization (MM) based IbRELAX algorithm, referred to as IbMMRELAX, to enhance the computational efficiency of IbRELAX. Using the MM technique, IbMMRELAX maximizes the likelihood function iteratively using simple FFT operations to reduce the computational cost of IbRELAX while maintaining its excellent estimation accuracy. Numerical examples are presented to demonstrate the effectiveness of the proposed method.

Zhang, TianyiUniv Florida, Elect & Comp Engn, Gainesville, FL 32608 USA (author)
Li, JianUniv Florida, Elect & Comp Engn, Gainesville, FL 32608 USA (author)
Stoica, PeterUppsala universitet,Avdelningen för systemteknik,Reglerteknik(Swepub:uu)pst23965 (author)
Univ Florida, Elect & Comp Engn, Gainesville, FL 32608 USAAvdelningen för systemteknik (creator_code:org_t)

In:Proc. 52nd Asilomar Conference on Signals, Systems, and ComputersPiscataway, NJ : IEEE, s. 1111-11159781538692189

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Signal Processin ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.