Optimizations of Multisite Radar System with MIMO Radars for Target Detection

Xu, Jia; Dai, Xi-Zeng; Xia, Xiang-Gen; Wang, Libao; Yu, Jian; Peng, Yingning

doi:10.1109/taes.2011.6034636

Cited by 31 publications

(21 citation statements)

References 20 publications

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“…In recent years, multiple-input multiple-output (MIMO) radar has been widely investigated and applied in many radar applications [1][2][3][4][5][6][7][8][9][10]. According to different antenna configurations, MIMO radar can be generally divided into two types.…”

Section: Introductionmentioning

confidence: 99%

“…The first type is colocated MIMO radar in which all the transmitted antennas and received antennas are located closely enough [1][2][3][4]. The second type is statistical MIMO radar that can obtain spatial diversity and improve the detection performance by using widely separated transmitters and receivers and observing a target from different spatial aspects [8][9][10]. To achieve spatial diversity, all the transmitted signals are usually assumed to be orthogonal to each other in time domain with arbitrary time delays and thus, they can be separated in each receiver.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

CP-based MIMO OFDM radar IRCI free range reconstruction using real orthogonal designs

Zhang

Xia

Kong

2016

Sci. China Inf. Sci.

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In this paper, we propose a range reconstruction method for a frequency-band shared multipleinput multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) radar with sufficient cyclic prefix (CP) by using real orthogonal designs. Compared with the application of complex orthogonal designs in our previous work, the application of real orthogonal designs can significantly reduce the number of the all-zero-valued pulses in a coherent processing interval (CPI) for each transmitter and increase the efficiency of radar transmitters. Meanwhile, it still maintains the advantages of full spatial diversity without inter-range-cell interference (IRCI). We also apply the rate-1 real orthogonal designs for different numbers of transmitters and pulses for range reconstruction without any idleness of radar transmitters. Simulation results are presented to illustrate the performances of the OFDM pulse design and the CP-based MIMO OFDM radar using real orthogonal designs. Keywords cyclic prefix (CP), inter-range-cell interference (IRCI), multiple-input multiple-output (MIMO) radar, real orthogonal designs, orthogonal frequency division multiplexing (OFDM) pulse Citation Zhang T X, Xia X-G, Kong L J. CP-based MIMO OFDM radar IRCI free range reconstruction using real orthogonal designs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

CP-based MIMO OFDM radar IRCI free range reconstruction using real orthogonal designs

Zhang

Xia

Kong

2016

Sci. China Inf. Sci.

Self Cite

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“…MIMO radar systems transmit multiple orthogonal waveforms and receive their echoes via multiple independent transmitters and receivers, respectively, which can effectively enlarge radar system degrees of freedom (DOF) to improve the performance of target detection, parameter estimation and imaging etc. [3]. Enlightened by this idea, some scholars introduced the MIMO technique into synthetic aperture radar (SAR) domain [4][5][6][7] to overcome the design difficulties of conventional SAR with single transmitter and receiver.…”

Section: Introductionmentioning

confidence: 99%

Multiple input and multiple output synthetic aperture radar multiple waveform separation based on oblique projection in same frequency coverage

Meng

Liu

et al. 2015

IET Radar, Sonar & Navigation

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In multiple input and multiple output synthetic aperture radar (MIMO-SAR) the unwanted cross-correlation output sexist inevitably in the superposed echoes of multiple transmitted orthogonal waveforms in the same frequency coverage, which may deteriorate the quality of the reconstructed SAR image because of the high synthetic integrated sidelobe level (SISL). In this study, a novel signal decomposition based on oblique projection (SDOP) method is proposed to suppress the cross-correlation outputs. At first, the superposed echo of each receiver is modelled as a linear-combined vector of transmitted multiple waveforms. Then, the echo of each transmitted waveform is obtained by signal decomposition on the combined vector via SDOP, respectively. Besides, two new metrics, that is, synthetics integrated sidelobe level ratio improved factor and integrated sidelobe level ratio loss factor, are also proposed to assess the separation performance. It is found that the cross-correlation can be effectively suppressed among multiple waveforms via low-complexity projection operators and the output signal noise ratio can be remarkably improved, accordingly. Finally, the numerical experiments are also provided to demonstrate the effectiveness of the proposed method.

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“…high resolution and wide-swath (HRWS) [1,2] imaging, ground moving target indication (GMTI) [3] and threedimensional (3D) imaging [4], multiple-input and multiple-output SAR (MIMO-SAR) has emerged on an active research area in recent years. It is known that MIMO radar can obtain larger degree-of-freedom (DOF) [5][6][7][8][9] because of multiple transmitters and receivers. The target detection can be improved by optimizing spatial diversity gain and coherent integration gain [6].…”

Section: Introductionmentioning

confidence: 99%

MIMO-SAR waveforms separation based on virtual polarization filter

Meng

Xia

et al. 2014

Sci. China Inf. Sci.

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The unwanted coupling exists inevitably among multiple orthogonal waveforms in a same frequency area for multiple-input and multiple-output synthetic aperture radar (MIMO-SAR). In this paper, a new polarized MIMO-SAR model is established with two transmitting antennas and multiple receiving antennas at first. Then, a virtual polarization filter (VPF) is proposed to separate superposed returns caused by multiple transmitted waveforms based on detection on the polarized parameters via particle swarm optimizer (PSO). Compared with the conventional matched filter to separate the orthogonal waveforms, it is shown that the coupling noises can be significantly suppressed by the proposed VPF-based method and the orthogonality is not necessary among different transmitting waveforms. Finally, experimental data experiments are also provided to demonstrate the effectiveness of the proposed method.

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Optimizations of Multisite Radar System with MIMO Radars for Target Detection

Cited by 31 publications

References 20 publications

CP-based MIMO OFDM radar IRCI free range reconstruction using real orthogonal designs

CP-based MIMO OFDM radar IRCI free range reconstruction using real orthogonal designs

Multiple input and multiple output synthetic aperture radar multiple waveform separation based on oblique projection in same frequency coverage

MIMO-SAR waveforms separation based on virtual polarization filter

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