NDLI: Target position estimation in radar and sonar, and generalized ambiguity analysis for maximum likelihood parameter estimation

Content Provider	IEEE Xplore Digital Library
Author	Altes, R.A.
Copyright Year	1963
Abstract	Target position estimation in radar and sonar means joint estimation of range and angle in the presence of noise and clutter. The global behavior of a maximum likelihood (ML) position estimator, and the clutter suppression capability of the system, can be written in terms of a range-angle ambiguity function. This function depends upon signal waveform and array configuration, i.e., upon both temporal and spatial characteristics of the system. Ambiguity and variance bound analysis indicates that system bandwidth can often be traded for array size, and direction-dependent signals can be used to obtain better angle resolution without increasing the size of the array. Wide-band direction-dependent signals (temporal diversity) can be traded for large real or synthetic arrays (spatial diversity). This tradeoff is apparently exploited by some animal echolocation systems. The above insights are obtained mostly from the properties of the range-angle ambiguity function. In general, an appropriate ambiguity function should be very useful for the design and evaluation of any ML parameter estimator. System identification methods and radio navigation systems, for example, can be optimized by minimizing the volume of a multiparameter ambiguity function.
Sponsorship	IEEE Publication
Starting Page	920
Ending Page	930
Page Count	11
File Size	1064683
File Format	PDF
ISSN	00189219
Volume Number	67
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1979-06-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sonar Maximum likelihood estimation Parameter estimation Radar clutter Analysis of variance Signal analysis Bandwidth Spatial resolution Signal resolution Wideband
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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