Performance Analysis of Space-Borne Early Warning Radar for AMTI

Zhan, Muyang; Huang, Penghui; Liu, Xingzhao; Chen, Junli; Gao, Yesheng; Liu, Zhiling

doi:10.1109/apsar46974.2019.9048340

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…After pulse compression, the received baseband echo signal of the mth received channel can be denoted as [10] ( ) ( ) and  are the peak power, pulse width, signal bandwidth, full aperture gain of the transmitting antenna, subchannel gain of the receiving antenna, wavelength, system loss, and target RCS, respectively.…”

Section: Dmentioning

confidence: 99%

“…, l a r t f n denote the multichannel signal components of an AMT, clutter, and Gaussian white noise, respectively. According to (32), the multichannel AMT signal is given by (34) In addition, the multichannel clutter signal can also be obtained by using a similar derivation with the scatterer velocity setting as zeros [10]. According to (34), the post-Doppler STAP is implemented in the lth subaperture to realize clutter suppression, which can be expressed as , min .…”

Section: ) Clutter Rejectionmentioning

confidence: 99%

“…In the following, a Monte-Carlo simulation experiment is performed to validate the moving detection performance of the GRFT method, HI method [13], ACCF method [10], MTD method, and proposed SAKTMF method. The radar system parameters remain the same as those listed in Table I, the number of Monte-Carlo simulations is 500, and the target equivalent radial velocity and acceleration are set as 200 m/s and 20 m/s 2 , respectively.…”

Section: Detection Performance Analysismentioning

confidence: 99%

“…In addition, due to the high-speed motion of the space-borne platform, the observed moving targets may be easily submerged in the broadened ground/sea clutter background, making weak AMTs detection more challenging. To address this problem, post-Doppler space-time adaptive processing (STAP) techniques [6], such as Extend Factored approach (EFA) [7], "filter-then-adapt" (F$A) [8], and Joint Domain Localized (JDL) [9] have been proven to be effective tools to improve the output signal-clutter and noise ratios (SCNRs) of AMTs in an SBEWR system [10].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System

Zhan¹,

Chun-hua

Kun

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: Dmentioning

confidence: 99%

Section: ) Clutter Rejectionmentioning

confidence: 99%

Section: Detection Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System

Zhan¹,

Chun-hua

Kun

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

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“…TAP technology greatly improves the detect moving targets capability of radar in strong clutter and interference environments [1][2][3]. With the development of technology, the CFAR algorithm for target detection is becoming more and more mature, and various high accuracy CFAR detectors are proposed [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar

Zhang¹,

Wang²,

Qiao³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Accurate estimation of the clutter covariance matrix for the cell under test (CUT) is a committed step in the spatialtemporal adaptive processing (STAP) algorithm. The unique nonstationary characteristic of signal for space-based early warning radar (SBEWR) leads to the spatial variation of training sample and the insufficient number of optional independent identically distributed (i.i.d.) training samples, which brings difficulties to training sample selection and covariance matrix estimation. To improve the estimation accuracy of clutter covariance matrix and the performance of STAP for SBEWR in a heterogeneous environment, a novel training sample selection and clutter covariance matrix estimation method is proposed. The method based on clutter subspace reconstruction and spectrum correction technology can improve the estimation accuracy of clutter covariance matrix in the case of non-stationary signals and heterogeneous environments. The clutter covariance matrix estimated by the proposed method is similar to the clutter covariance matrix of the CUT, and the performance of STAP is improved. The experimental results confirm the performance of the proposed method.

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A Closed-Form Expression of STAP Performance for Distributed Aperture Coherence MIMO Radar

Li,

Wu,

Yang

et al. 2024

IEEE Geosci. Remote Sensing Lett.

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Performance Analysis of Space-Borne Early Warning Radar for AMTI

Cited by 5 publications

References 5 publications

Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System

Subaperture Keystone Transform Matched Filtering Algorithm and Its Application for Air Moving Target Detection in an SBEWR System

A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar

A Closed-Form Expression of STAP Performance for Distributed Aperture Coherence MIMO Radar

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