Approximate Cramér–Rao bound on Doppler error in correlation-processing relatively narrowband noise radar

Michał Meller

doi:10.1049/iet-rsn:20080080

Approximate Cramér–Rao bound on Doppler error in correlation-processing relatively narrowband noise radar

Abstract

The paper studies limitations on accuracy of Doppler estimation in continuous-wave noise radar with correlation processing. Second order properties of output of the correlation receiver are evaluated and an approximate Cram´er-Rao bound on errors of Doppler measurement is derived. The accuracy of Doppler measurements is found to be aﬀected by the following factors: power spectral density of noise signal, frequency response of the lowpass ﬁlter in correlator, observation time, velocity of the target and signal to noise ratio. It is shown that the random nature of the transmitted signal induces additional ﬂuctuations at the output of correlator which limit the accuracy even in the inﬁnite signal to noise case. Qualitative extension of the results to a case covering multiple targets and clutter is made. It is argued that the performance will decrease and that increasing transmitted power may not provide signiﬁcant improvement when clutter is present.

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Author (1)

Michał Meller dr hab. inż.
- Department of Signal and Information Processing, Telecommunications Research Institute Gdańsk Division

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Publication version: Accepted or Published Version
License: Copyright (The Institution of Engineering and Technology)

Keywords

CORRELATION, DOPPLER, ESTIMATION, NOISE RADAR, RADAR THEORY

Details

Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: IET Radar Sonar and Navigation no. 3, edition 3, pages 245 - 252,
ISSN: 1751-8784
Language:: English
Publication year:: 2009
Bibliographic description:: Meller M.: Approximate Cramér–Rao bound on Doppler error in correlation-processing relatively narrowband noise radar// IET Radar Sonar and Navigation. -Vol. 3, iss. 3 (2009), s.245-252
DOI:: Digital Object Identifier (open in new tab) 10.1049/iet-rsn:20080080
Verified by:: Gdańsk University of Technology