Improved 2-class target classification performance using radar waveform design

S. Z. Alshirah; B. Mulgrew

doi:10.1109/RADAR.2018.8378602

Improved 2-class target classification performance using radar waveform design

S. Z. Alshirah, B. Mulgrew

School of Engineering

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

Abstract

This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.

Original language	English
Title of host publication	2018 IEEE Radar Conference (RadarConf18)
Publisher	Institute of Electrical and Electronics Engineers
Pages	0458-0461
Number of pages	4
ISBN (Electronic)	978-1-5386-4167-5
DOIs	https://doi.org/10.1109/RADAR.2018.8378602
Publication status	Published - 1 Apr 2018
Event	2018 IEEE Radar Conference - Oklahoma City, United States Duration: 23 Apr 2018 → 27 Apr 2018

Conference

Conference	2018 IEEE Radar Conference
Abbreviated title	RADARCONF'18
Country/Territory	United States
City	Oklahoma City
Period	23/04/18 → 27/04/18

Keywords / Materials (for Non-textual outputs)

radar signal processing
target tracking
2-class target classification performance
closed-form solution
energy constraint
linearly frequency modulated waveform
optimal signal
optimal waveform design
radar systems
radar waveform design
simple analytical form
target misclassification
Cognitive radar
Fourier transforms
Hardware
Optimization
Receivers
Transmitters
Radar
adaptive
classification
waveform design

Access to Document

10.1109/RADAR.2018.8378602

Cite this

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title = "Improved 2-class target classification performance using radar waveform design",

abstract = "This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.",

keywords = "radar signal processing, target tracking, 2-class target classification performance, closed-form solution, energy constraint, linearly frequency modulated waveform, optimal signal, optimal waveform design, radar systems, radar waveform design, simple analytical form, target misclassification, Cognitive radar, Fourier transforms, Hardware, Optimization, Receivers, Transmitters, Radar, adaptive, classification, waveform design",

author = "Alshirah, {S. Z.} and B. Mulgrew",

note = "Acceptance date set to exclude from REF OA Policy; 2018 IEEE Radar Conference , RADARCONF'18 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

month = apr,

day = "1",

doi = "10.1109/RADAR.2018.8378602",

language = "English",

pages = "0458--0461",

booktitle = "2018 IEEE Radar Conference (RadarConf18)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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T1 - Improved 2-class target classification performance using radar waveform design

AU - Alshirah, S. Z.

AU - Mulgrew, B.

N1 - Acceptance date set to exclude from REF OA Policy

PY - 2018/4/1

Y1 - 2018/4/1

N2 - This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.

AB - This paper establishes the importance of radar waveforms in determining classification performance in radar systems. The paper derives a closed-form solution for the optimal waveform design. The objective is to minimise the probability of target misclassification in a 2-class problem while satisfying an energy constraint. The derivation results in a simple analytical form for the spectrum of the optimal signal. An example is presented showing the improvement in classification performance of the optimal waveform over a linearly frequency modulated waveform.

KW - radar signal processing

KW - target tracking

KW - 2-class target classification performance

KW - closed-form solution

KW - energy constraint

KW - linearly frequency modulated waveform

KW - optimal signal

KW - optimal waveform design

KW - radar systems

KW - radar waveform design

KW - simple analytical form

KW - target misclassification

KW - Cognitive radar

KW - Fourier transforms

KW - Hardware

KW - Optimization

KW - Receivers

KW - Transmitters

KW - Radar

KW - adaptive

KW - classification

KW - waveform design

U2 - 10.1109/RADAR.2018.8378602

DO - 10.1109/RADAR.2018.8378602

M3 - Conference contribution

SP - 458

EP - 461

BT - 2018 IEEE Radar Conference (RadarConf18)

PB - Institute of Electrical and Electronics Engineers

T2 - 2018 IEEE Radar Conference

Y2 - 23 April 2018 through 27 April 2018

ER -

Improved 2-class target classification performance using radar waveform design

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

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