MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps

Hsiang Tsun Li; Petar M. Djuric

doi:10.1109/78.661350

MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps

Hsiang Tsun Li
, Petar M. Djuric

Electrical Engineering

Stony Brook University

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

An iterative algorithm similar to our MMSE estimation procedure proposed in another paper by the authors is applied to parameter estimation of multiple superimposed chirp signals in white Gaussian noise. The necessary parameter initializations of the procedure are accomplished by peak detections in the Choi-Williams time-frequency distribution of the data followed by application of the least-squares principle. A comparison between our scheme and the alternating projection (AP) method is demonstrated by computer simulation.

Original language	English
Pages (from-to)	796-800
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	46
Issue number	3
DOIs	https://doi.org/10.1109/78.661350
State	Published - 1998

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title = "MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps",

abstract = "An iterative algorithm similar to our MMSE estimation procedure proposed in another paper by the authors is applied to parameter estimation of multiple superimposed chirp signals in white Gaussian noise. The necessary parameter initializations of the procedure are accomplished by peak detections in the Choi-Williams time-frequency distribution of the data followed by application of the least-squares principle. A comparison between our scheme and the alternating projection (AP) method is demonstrated by computer simulation.",

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AU - Djuric, Petar M.

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AB - An iterative algorithm similar to our MMSE estimation procedure proposed in another paper by the authors is applied to parameter estimation of multiple superimposed chirp signals in white Gaussian noise. The necessary parameter initializations of the procedure are accomplished by peak detections in the Choi-Williams time-frequency distribution of the data followed by application of the least-squares principle. A comparison between our scheme and the alternating projection (AP) method is demonstrated by computer simulation.

UR - https://www.scopus.com/pages/publications/0032022515

U2 - 10.1109/78.661350

DO - 10.1109/78.661350

M3 - Article

AN - SCOPUS:0032022515

SN - 1053-587X

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SP - 796

EP - 800

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

IS - 3

ER -

MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps

Abstract

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