Multistatic Passive Radar Target Detection : A Detection Theory Framework.

Format:

Book

Author/Creator:

Zaimbashi, Amir.

Contributor:

Nayebi, Mohammad Mahdi.

Series:

Radar, Sonar and Navigation Series

Language:

English

Subjects (All):

Bistatic radar.

Surveillance radar.

Physical Description:

1 online resource (396 pages)

Edition:

1st ed.

Other Title:

Multistatic Passive Radar Target Detection

Place of Publication:

Stevenage : Institution of Engineering & Technology, 2023.

Summary:

This book is devoted to target detection in a class of radar systems referred to as passive multistatic radar. It is concerned with applications of new results in detection theory which improve performance of passive radar systems.

Contents:

Contents

About the Authors

Preface

Part I Passive radar basic principles and conventional target detection algorithms

1 An introduction to passive radar

1.1 Passive radar illuminators

1.1.1 FM radio signal characteristic

1.1.2 DVB-T signal characteristic

1.1.3 ATV signal characteristic

1.2 Geometry of passive radars

1.3 Power budget and passive radar coverage

1.4 Summary

References

2 Passive radar conventional target detection algorithms

2.1 Surveillance and reference signal models

2.2 Conventional interference removal approaches

2.2.1 Subspace-based interference removal approaches

2.2.2 Adaptive filter-based interference removal approaches

2.2.2.1 Least mean squares algorithms

2.2.2.2 Recursive least squares algorithms

2.3 Conventional PR target detection approaches

2.4 Performance results

2.4.1 Multipath removal capability: stationary multipath scatterers

2.4.2 Multipath removal capability: moving multipath scatterers

2.4.3 Detection performance evaluation

2.5 Summary

Part II Target detection in passive bistatic radar under high-SNR reference channel

3 Multitarget detection problem in single-band FM-based passive radar

3.1 Introduction Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

1-83724-461-8

1-83953-853-8

OCLC:

1450835641