Target Detection in Pulse-Train Mimo Radars Applying Ica Algorithms

Hatam, Majid; Sheikhi, A.; Masnadi-Shirazi, Mohammad Ali

doi:10.2528/pier11101206

Cited by 29 publications

(22 citation statements)

References 43 publications

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“…MIMO radar is categorized into two classes: statistical MIMO radar and colocated MIMO radar, depending on their antenna placement [1][2][3][4][5][6]. The advantages of MIMO radar with collocated antennas have been studied extensively, which include improved detection performance and higher resolution [7], higher sensitivity for detecting moving targets [8,9], and increased degrees of freedom for transmission beamforming [10].…”

Section: Introductionmentioning

confidence: 99%

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

Ding¹,

Chen²,

Wang³

et al. 2013

PIER B

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Abstract-In this paper, we focus on target detection and system configuration optimization of Multiple-input Multiple-output (MIMO) radar in low-grazing angle, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient, considering the curved earth effect, is derived. Then, the general signal model for MIMO radar is introduced for low-grazing angle. Using the NeymanPearson sense, the detector of MIMO radar with multipath is analyzed. We use the deflection coefficient as a criterion of system configuration both for MIMO radar and phased-array radar. The simulation results show that the performance can be enhanced markedly when the multipath effects are considered, and the optimal configuration of phased-array radar is with the same number of transmitters as that of receivers, however, the optimal configuration of MIMO radar depends on the signal-to-noise ratio (SNR).

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Section: Introductionmentioning

confidence: 99%

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

Ding¹,

Chen²,

Wang³

et al. 2013

PIER B

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“…Radar has been successfully employed for detection of various entities such as breast cancers [7][8][9], hidden objects or humans [10][11][12][13][14][15][16][17][18][19], moving targets [20][21][22] and their speed [23,24] and speech acquisition [25]. Among various types of radars developed so far, ground penetrating radars (GPRs) have attracted many researchers attention.…”

Section: Introductionmentioning

confidence: 99%

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Park¹,

Park²,

Kim³

et al. 2013

PIER

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Abstract-In this paper, we present a method for detecting antitank or anti-personnel landmines buried in the ground. A set of data generated by a ground penetrating radar is processed to remove the surface reflection and clutter, yielding signals for possible landmines. In order to detect landmines in the signals, features are computed and compared against a database, which contains those of various landmines. Three features are proposed to use; principal components from principal component analysis, Fourier coefficients and singular values from singular value decomposition method, each of which is chosen to represent each landmine uniquely. Detection is performed using Mahalanobis distance-based method. Examples show that the proposed method can effectively detect landmines in various burial condition.

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“…Recently, a great of interest has been attracted by a conception of Multi-Input Multi-Output (MIMO) radar [1][2][3][4][5][6][7], where multiple antennas are used both at transmission and reception to exploit spatial and waveform diversity gain simultaneously. Primary studies have demonstrated the potential advantages to simultaneously improve the performance of wide swath Synthetic Aperture Radar (SAR) imaging and ground moving target detection by utilizing multiple antennas both at transmission and reception [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Signal Model and Moving Target Detection Based on Mimo Synthetic Aperture Radar

Zhou¹,

Wang²,

Chen³

et al. 2012

PIER

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Abstract-Recent years, a new SAR concept based on Multi-Input Multi-Output (MIMO) configuration has demonstrated the potential advantages to simultaneously improve the performance of Synthetic Aperture Radar (SAR) imaging and ground moving target detection by utilizing multiple antennas both at transmission and reception. However, the precise signal model, as well as the effect of ground moving target in image domain and the approaches for moving target indication based on MIMO SAR system are rarely investigated. Our paper has three main contributions. Firstly, we present a detailed signal model for stationary scene and moving target based on a colocated MIMO SAR configuration, and analyze the motion effect of the moving target. Secondly, we provide an algorithm of phase compensation to combine the multiple virtual channel data in order to enhance the image quality. Thirdly, an adaptive optimal approach is applied for clutter suppression, then the velocity of the moving target is estimated via Delay-and-Sum (DAS) beamforming approach. Finally, several numerical experiments are provided to illustrate the derivation and analysis in this paper.

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Target Detection in Pulse-Train Mimo Radars Applying Ica Algorithms

Cited by 29 publications

References 43 publications

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

Low-Grazing Angle Target Detection and System Configuration of Mimo Radar

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Signal Model and Moving Target Detection Based on Mimo Synthetic Aperture Radar

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