Long-time coherent integration detection of weak manoeuvring target via integration algorithm, improved axis rotation discrete chirp-Fourier transform

Range/Doppler migrations, which result from the integration time increasing and the target's manoeuvring motion, will affect the coherent integration performance severely. To deal with range/Doppler migration, a novel coherent integration algorithm, improved axis rotation discrete chirp-Fourier...

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Vydané v:IET radar, sonar & navigation Ročník 9; číslo 7; s. 917 - 926
Hlavní autori: Rao, Xuan, Tao, Haihong, Xie, Jian, Su, Jia, Li, Weiping
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 01.08.2015
Predmet:
Algorithms
channel bank filters
Coherence
compensation
computational complexity
Cramer‐Rao lower bound
discrete Fourier transforms
Doppler
Doppler effect
Doppler filter bank
Doppler radar
Estimators
improved axis rotation discrete chirp‐Fourier transform
integration
integration algorithm
likelihood ratio test detector
long‐time coherent integration detection
Manoeuvring
maximum likelihood detection
maximum likelihood estimation
maximum likelihood estimator
Migration
MR‐IAR‐DCFT
multirange‐cell association
object detection
radar
radar detection
range‐Doppler migration
target velocity estimation
Transforms
tridimensional motion parameter filter bank
weak manoeuvring target detection
maximum likelihood detection
radar detection
MR-IAR-DCFT
integration algorithm
discrete Fourier transforms
tridimensional motion parameter filter bank
Cramer-Rao lower bound
object detection
Doppler filter bank
target velocity estimation
maximum likelihood estimation
likelihood ratio test detector
maximum likelihood estimator
radar
weak manoeuvring target detection
integration
long-time coherent integration detection
compensation
improved axis rotation discrete chirp-Fourier transform
Doppler radar
multirange-cell association
channel bank filters
computational complexity
range-Doppler migration
ISSN:1751-8784, 1751-8792
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Popis
Shrnutí:Range/Doppler migrations, which result from the integration time increasing and the target's manoeuvring motion, will affect the coherent integration performance severely. To deal with range/Doppler migration, a novel coherent integration algorithm, improved axis rotation discrete chirp-Fourier transform (IAR-DCFT), is proposed. IAR-DCFT could eliminate range migration via improved axis rotation transform, and realise the compensation of Doppler migration and coherent integration via discrete chirp-Fourier transform. IAR-DCFT may be regarded as tri-dimensional motion parameter filter banks, which is analogous to moving target detection that can be treated as Doppler filter banks, and estimate a target's velocity, acceleration and jerk simultaneously. Then the derivations of maximum-likelihood estimator and likelihood ratio test detector show that IAR-DCFT is the optimal estimator and a detector. The performance of the optimal estimator is verified by comparing with Cramer-Rao lower bound. Subsequently, the detailed performance analyses of IAR-DCFT are provided, including coherent integration gain, coherent integration time, multi-target detection and computational complexity. Furthermore, the authors introduce the generalisation of IAR-DCFT, that is, multi-range-cell associated IAR-DCFT (MR-IAR-DCFT), which can be applied to detect a target with high-manoeuvring motion or used in a longer time integration case. Finally, some numerical experiments are given to verify the performance of IAR-DCFT and MR-IAR-DCFT.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2014.0344