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FDA-MIMO radar detection for independent and nonidentically distributed fluctuating targets

Cheng, Jie LU ; Yan, Yisheng ; Jakobsson, Andreas LU orcid and Wang, Wen Qin (2022) In Digital Signal Processing: A Review Journal 129.
Abstract

Due to its range-dependent target response, frequency diverse array multiple-input multiple-output (FDA-MIMO) radar systems enable superior detection capabilities as compared with conventional phased-array radars. This paper proposes an incoherent detector for airborne FDA-MIMO radar to detect independent but possibly non-identically distributed fluctuating targets. For FDA-MIMO, variations in the target's flight attitude result in different distributions of the target radar cross section (RCS) for different pulses. In order to allow the FDA-MIMO RCS to vary due to the large frequency increments across the array antennas, we formulate a statistical FDA-MIMO RCS model for the reflected signal. We further derive the analytical detection... (More)

Due to its range-dependent target response, frequency diverse array multiple-input multiple-output (FDA-MIMO) radar systems enable superior detection capabilities as compared with conventional phased-array radars. This paper proposes an incoherent detector for airborne FDA-MIMO radar to detect independent but possibly non-identically distributed fluctuating targets. For FDA-MIMO, variations in the target's flight attitude result in different distributions of the target radar cross section (RCS) for different pulses. In order to allow the FDA-MIMO RCS to vary due to the large frequency increments across the array antennas, we formulate a statistical FDA-MIMO RCS model for the reflected signal. We further derive the analytical detection probability for an FDA-MIMO radar measuring independent and non-identically distributed fluctuating targets. The resulting expression takes the form of an infinite sum; to enable evaluation in practice, an upper bound of the truncation error is also derived. The proposed method and all theoretical analysis are verified by numerical results, which provides theoretical basis and guidance for FDA-MIMO system implementation and design in independent and non-identically distributed fluctuating targets detection.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Fluctuating target, Frequency diverse array multiple-input multiple-output (FDA-MIMO), Incoherent detector, Non-identically distributed, Target detection
in
Digital Signal Processing: A Review Journal
volume
129
article number
103634
publisher
Elsevier
external identifiers
  • scopus:85134807479
ISSN
1051-2004
DOI
10.1016/j.dsp.2022.103634
language
English
LU publication?
yes
id
72f4f039-8db6-4714-8242-c66f2d8ca446
date added to LUP
2022-09-05 14:40:07
date last changed
2023-11-21 10:55:13
@article{72f4f039-8db6-4714-8242-c66f2d8ca446,
  abstract     = {{<p>Due to its range-dependent target response, frequency diverse array multiple-input multiple-output (FDA-MIMO) radar systems enable superior detection capabilities as compared with conventional phased-array radars. This paper proposes an incoherent detector for airborne FDA-MIMO radar to detect independent but possibly non-identically distributed fluctuating targets. For FDA-MIMO, variations in the target's flight attitude result in different distributions of the target radar cross section (RCS) for different pulses. In order to allow the FDA-MIMO RCS to vary due to the large frequency increments across the array antennas, we formulate a statistical FDA-MIMO RCS model for the reflected signal. We further derive the analytical detection probability for an FDA-MIMO radar measuring independent and non-identically distributed fluctuating targets. The resulting expression takes the form of an infinite sum; to enable evaluation in practice, an upper bound of the truncation error is also derived. The proposed method and all theoretical analysis are verified by numerical results, which provides theoretical basis and guidance for FDA-MIMO system implementation and design in independent and non-identically distributed fluctuating targets detection.</p>}},
  author       = {{Cheng, Jie and Yan, Yisheng and Jakobsson, Andreas and Wang, Wen Qin}},
  issn         = {{1051-2004}},
  keywords     = {{Fluctuating target; Frequency diverse array multiple-input multiple-output (FDA-MIMO); Incoherent detector; Non-identically distributed; Target detection}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Digital Signal Processing: A Review Journal}},
  title        = {{FDA-MIMO radar detection for independent and nonidentically distributed fluctuating targets}},
  url          = {{http://dx.doi.org/10.1016/j.dsp.2022.103634}},
  doi          = {{10.1016/j.dsp.2022.103634}},
  volume       = {{129}},
  year         = {{2022}},
}