A target polarization recognition method for radar echoes

Xi, Li; Li, Lin; Shao, Xianhe

doi:10.1109/icmmt.2010.5524748

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…From this information, one can extract the spatial structure of the target and the characteristics of polarization scattering, and form the shape features of the target structure. This dual technology holds great potential in radar target recognition [131][132][133]. Polarization measurement methods are divided into full polarization and dual polarization modes.…”

Section: Dual Polarization High-resolution Radarmentioning

confidence: 99%

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Liang

Liu

2019

Sci. China Inf. Sci.

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In recent years, the performances of radar resolution, coverage, and detection accuracy have been significantly improved through the use of ultra-wideband, synthetic aperture and digital signal processing technologies. High-resolution radars (HRRs) utilize wideband signals and synthetic apertures to enhance the range and angular resolutions of tracking, respectively. They also generate one-, two-, and even threedimensional high-resolution images containing the feature information of targets, from which the targets can be precisely classified and identified. Advanced signal processing algorithms in HRRs obtain important information such as range-Doppler imaging, phase-derived ranging, and micro-motion features. However, the advantages and applications of HRRs are restricted by factors such as the reduced signal-to-noise ratio (SNR) of multi-scatter point targets, decreased tracking accuracy of multi-scatter point targets, high demands of motion compensation, and low sensitivity of the target attitude. Focusing on these problems, this paper systematically introduces the novel technologies of HRRs and discusses the issues and solutions relevant to detection, tracking, imaging, and recognition. Finally, it reviews the latest progress and representative results of HRR-based research, and suggests the future development of HRRs.

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Section: Dual Polarization High-resolution Radarmentioning

confidence: 99%

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Liang

Liu

2019

Sci. China Inf. Sci.

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“…Shao et al recognized ships from chaff clouds on the basis of the ratio of co-polarized and cross-polarized components [5]. To further highlight the ratio differences, a non-linear polarization transformation is proposed by Shao et al [6] and Li et al [7]. Aiming at weighted chaff clouds, Li et al performed the recognition based on their polarimetric statistical property [8].…”

Section: Introductionmentioning

confidence: 99%

Ship Recognition from Chaff Clouds with Sophisticated Polarimetric Decomposition

Quan

Xiang³

et al. 2020

Remote Sensing

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Ship recognition from chaff cloud jamming is challenging since they have similar dimensions and radar cross sections. In this paper, a polarimetric recognition technique with sophisticated polarimetric decomposition is proposed. To this end, a seven-component model-based decomposition is first put forward by integrating three sophisticated scattering models, thus the dominant and local scattering of ships can be characterized accurately. According to the derived scattering contributions, a robust discrimination feature is then designed based on the concept of contrast and suppression. Coupled with the average scattering angle estimated from eigen-based decomposition, the constructed feature vector is inputted into the support vector machine and the recognition is finally fulfilled. The proposed method is tested on simulated and real polarimetric radar data and the results demonstrate that the proposed method achieves the highest recognition rate of over 98%, which outperforms the state-of-the-art methods.

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“…Many methods have been proposed to make such a distinction. These mainly include the Doppler behaviour of the chaff [26, 27], time‐domain correlation [28, 29], time‐frequency analysis of the radar echo [30], and polarisation discrimination [31–36], which seems to be the most promising methods [10]. Chaff jamming recognition based on the Doppler behaviour of the chaff is a simple but effective method, which can be divided roughly into two categories: Doppler filtering [26] and anti‐chaff jamming method based on the effect of spectral expansion [27].…”

Section: Introductionmentioning

confidence: 99%

“…the millimetre wave synthetic aperture radar (MMV‐SAR) seeker of European Aeronautic Defense and Space Company (EADS) [38], and the ground‐based radar for the national missile defense system (NMD‐GBR) in the USA [39] etc.]. As a result, applying the polarisation characteristics of chaff to jamming recognition has attracted the interest of researchers [31–36]. Since the warship is mainly dominated by dihedral scattering, it is reasonable to assume that the co‐polarised component of echoes of the warship is much stronger than the cross‐polarised component (∼12 dB) [25].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Jamming recognition method based on the polarisation scattering characteristics of chaff clouds

Liu

Xing

et al. 2017

IET Radar, Sonar & Navigation

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A target polarization recognition method for radar echoes

Cited by 6 publications

References 4 publications

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

Ship Recognition from Chaff Clouds with Sophisticated Polarimetric Decomposition

Jamming recognition method based on the polarisation scattering characteristics of chaff clouds

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