Mimo Radar Systems Design Based on Maximum Channel Capacity

Chen, Haowen; Ding, Jincan; Li, Xiang; Zhuang, Zhihao

doi:10.2528/pierb11072101

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…In the viewpoint of the anti-stealth technology, detection of low RCS target has been an interest. Multiple-input and multiple-output (MIMO) radar, bistatic radar and multi-static radar [51, 84,85,124,[130][131][132][133][134][135][136][137] have been employed to detect low-RCS target. Pulse compression proved to be an effective way to enhance the performance of radar target detection and recognition [138][139][140].…”

Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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Abstract-In this paper, the performance analysis of the natural frequency-based radar target recognition in the time domain is considered. We investigate the dependence of the probability of correct classification on a specific threshold value, and determine the optimum threshold value for two targets, and the sub-optimal threshold for multiple targets to maximize the probability of correct classification. Based on the probability density function (PDF) of some quantity consisting of the projections of the late time response onto the column spaces of the matrices constructed using the natural frequencies of the specific targets, we propose how to determine an optimum threshold in the sense that the probability of correct classification of two targets is maximized. By extending the scheme for two targets, we show how to determine a threshold value close to the optimal threshold for multiple targets. The scheme is validated by comparing the performance using the analytic method with that using the Monte-Carlo simulation.

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Section: Introductionmentioning

confidence: 99%

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Cho¹,

Lee²

2013

PIER

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“…MIMO radar is categorized into two classes: the statistical MIMO radar and colocated MIMO radar, depending on their antenna placement [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Fluctuating Target Detection in Low-Grazing Angle With Mimo Radar

Ding¹,

Chen²,

Li³

et al. 2013

PIER

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Abstract-This paper focuses on the fluctuating target detection in low-grazing angle using Multiple-input Multiple-output (MIMO) radar systems with widely separated antennas, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes, which is equivalent to improve the signal-to-noise ratio (SNR) by using multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced for fluctuating target in low-grazing angle. Using the Neyman-Pearson sense, the detectors of fluctuating targets, i.e., Swerling 1-4, with multipath are analyzed. Finally, the simulation results show that the performance can be enhanced markedly when the multipath effects are considered.

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Estimation of Pose Angle for Trihedral in Ultrawideband Virtual Aperture Radar

Chen¹,

Jin

Zhang³

et al. 2013

PIER

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Abstract-A map of a building using through-the-wall radar imaging (TWRI) can be best obtained by detecting and identifying its internal principal scatterers, where estimation of the pose angle of a trihedral formed by the wall-wall-floor structure is important in this application. In this paper, an image-domain based method is proposed to estimate the pose angle of trihedral using a feature called amplitude ratio (AR). The estimated pose angle of a trihedral is determined according to AR. Firstly, the imaging geometry of the radar with a multiple-input multiple-output (MIMO) array and the definition of AR in the echodomain are described. Secondly, a parametric back-scattering model based on geometrical theory of diffraction (GTD) is applied to analyze AR in the echo-domain when a trihedral is in different pose angles. Thirdly, a virtual aperture imaging model is developed to describe the imaging procedure using MIMO array. Based on the imaging model, the AR of each trihedral can be calculated in the image-domain instead of the echo-domain. Finally, the proposed estimation method is validated by the real data collected in an anechoic chamber.

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Mimo Radar Systems Design Based on Maximum Channel Capacity

Cited by 3 publications

References 22 publications

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Effect of Threshold Value on the Performance of Natural Frequency-Based Radar Target Recognition

Fluctuating Target Detection in Low-Grazing Angle With Mimo Radar

Estimation of Pose Angle for Trihedral in Ultrawideband Virtual Aperture Radar

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