Adaptive waveform design for tracking

Antonia Papandreou-Suppappola; Jason Jun Zhang; Bhavana Chakraborty; Ying Li; Darryl Morrell; Sandeep P. Sira

doi:10.1049/PBRA022E_ch15

Adaptive waveform design for tracking

Antonia Papandreou-Suppappola, Jason Jun Zhang, Bhavana Chakraborty, Ying Li, Darryl Morrell, Sandeep P. Sira

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Waveform-agile design approaches for target tracking involve the adaptive configuration of the next transmit waveform by optimizing some cost function such as the predicted mean-squared tracking estimation error. These approaches are shown to be advantageous for complex radar tracking, such as when the received waveforms have originated from multipath returns or the targets are embedded in dense clutter or are under obscuration. As a result, this chapter addresses waveform-agile sensing methodologies for new challenging tracking applications, including multiple-input multiple-output (MIMO) radar, urban terrain multipath exploitation radar in high clutter and integrated urban terrain MIMO radar.

Original language	English (US)
Title of host publication	Waveform Design and Diversity for Advanced Radar Systems
Publisher	Institution of Engineering and Technology
Pages	413-451
Number of pages	39
ISBN (Electronic)	9781849192668
ISBN (Print)	9781849192651
DOIs	https://doi.org/10.1049/PBRA022E_ch15
State	Published - Jan 1 2012

Keywords

MIMO radar
Multipath exploitation
Particle filter
Radar processing
Target tracking
Urban terrain
Waveform-agile sensing

ASJC Scopus subject areas

General Engineering

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10.1049/PBRA022E_ch15

Cite this

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abstract = "Waveform-agile design approaches for target tracking involve the adaptive configuration of the next transmit waveform by optimizing some cost function such as the predicted mean-squared tracking estimation error. These approaches are shown to be advantageous for complex radar tracking, such as when the received waveforms have originated from multipath returns or the targets are embedded in dense clutter or are under obscuration. As a result, this chapter addresses waveform-agile sensing methodologies for new challenging tracking applications, including multiple-input multiple-output (MIMO) radar, urban terrain multipath exploitation radar in high clutter and integrated urban terrain MIMO radar.",

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author = "Antonia Papandreou-Suppappola and Zhang, {Jason Jun} and Bhavana Chakraborty and Ying Li and Darryl Morrell and Sira, {Sandeep P.}",

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AU - Papandreou-Suppappola, Antonia

AU - Zhang, Jason Jun

AU - Chakraborty, Bhavana

AU - Li, Ying

AU - Morrell, Darryl

AU - Sira, Sandeep P.

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AB - Waveform-agile design approaches for target tracking involve the adaptive configuration of the next transmit waveform by optimizing some cost function such as the predicted mean-squared tracking estimation error. These approaches are shown to be advantageous for complex radar tracking, such as when the received waveforms have originated from multipath returns or the targets are embedded in dense clutter or are under obscuration. As a result, this chapter addresses waveform-agile sensing methodologies for new challenging tracking applications, including multiple-input multiple-output (MIMO) radar, urban terrain multipath exploitation radar in high clutter and integrated urban terrain MIMO radar.

KW - MIMO radar

KW - Multipath exploitation

KW - Particle filter

KW - Radar processing

KW - Target tracking

KW - Urban terrain

KW - Waveform-agile sensing

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Adaptive waveform design for tracking

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Keywords

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