A study of frequency diversity MIMO radar beamforming

Li, Xiangru; Zhang, Zhao; Mao, Wu-Xing; Wang, Xiaomo; Lu, Jun; Wang, Wensheng

doi:10.1109/icosp.2010.5655139

Cited by 28 publications

(20 citation statements)

References 26 publications

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“…(4) If Δ f / = 0 and K = M are chosen for the array and orthogonal waveforms are employed in each subarray, it is a MIMO array with frequency diversity. It has been proved in [29][30][31][32] that the use of frequency diversity in MIMO array is useful.…”

Section: Flexible Performance Specificsmentioning

confidence: 99%

A Flexible Phased-MIMO Array Antenna with Transmit Beamforming

Wang

Shao

2012

International Journal of Antennas and Propagation

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Although phased-array antennas have been widely employed in modern radars, the requirements of many emerging applications call for new more advanced array antennas. This paper proposes a flexible phased-array multiple-input multiple-output (MIMO) array antenna with transmit beamforming. This approach divides the transmit antenna array into multiple subarrays that are allowed to overlap each subarray coherently transmits a distinct waveform, which is orthogonal to the waveforms transmitted by other subarrays, at a distinct transmit frequency. That is, a small frequency increment is employed in each subarray. Each subarray forms a directional beam and all beams may be steered to different directions. The subarrays jointly offer flexible operating modes such as MIMO array which offers spatial diversity gain, phased-array which offers coherent directional gain and frequency diverse array which provides range-dependent beampattern. The system performance is examined by analyzing the transmit-receive beampatterns. The proposed approach is validated by extensive numerical simulation results.

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Section: Flexible Performance Specificsmentioning

confidence: 99%

A Flexible Phased-MIMO Array Antenna with Transmit Beamforming

Wang

Shao

2012

International Journal of Antennas and Propagation

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“…The frequency increments across the subarrays add the frequency diversity information and the extra DOFs to the range bin containing the interested target in the receiver, which can acquire the range-angledependent beam pattern and some additional useful features. For example, the FD-MIMO radar can overcome grating lobe problem in distributed apertures MIMO systems [14], provide improved detection performance [1], and produce a larger virtual array aperture than the FDA [15]. Considering the useful advantages, three-dimensional (3D) target localization and its estimation performance are investigated for the FD-MIMO radar in this paper.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar

Li¹,

Wang²,

Xiao-yan³

2017

International Journal of Antennas and Propagation

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Target localization using a frequency diversity multiple-input multiple-output (MIMO) system is one of the hottest research directions in the radar society. In this paper, three-dimensional (3D) target localization is considered for two-dimensional MIMO radar with orthogonal frequency division multiplexing linear frequency modulated (OFDM-LFM) waveforms. To realize joint estimation for range and angle in azimuth and elevation, the range-angle-dependent beam pattern with high range resolution is produced by the OFDM-LFM waveform. Then, the 3D target localization proposal is presented and the corresponding closed-form expressions of Cramér-Rao bound (CRB) are derived. Furthermore, for mitigating the coupling of angle and range and further improving the estimation precision, a CRB optimization method is proposed. Different from the existing methods of FDA-based radar, the proposed method can provide higher range estimation because of multiple transmitted frequency bands. Numerical simulation results are provided to demonstrate the effectiveness of the proposed approach and its improved performance of target localization.

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“…Multiple-input multiple-output (MIMO) radar employs multiple antennas to simultaneously transmit diverse waveforms and utilizes multiple antennas to receive the reflected signals [1][2][3][4][5]. Direction of arrival (DOA) algorithms in MIMO radar have been recently investigated in [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], which contain estimation of signal parameters via rotational invariance technique (ESPRIT) algorithms [6][7][8], Capon algorithms [10,11], multiple signal classification (MUSIC) algorithms [9,[12][13][14][15], parallel factor (PARAFAC) analysis algorithms [16][17][18], propagator method [19,20], quaternion method [21,22], compressive sampling methods [23,24], and so on.…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association

Zhang

Chen

et al. 2014

International Journal of Antennas and Propagation

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We consider the problem of tracking the direction of arrivals (DOA) of multiple moving targets in monostatic multiple-input multiple-output (MIMO) radar. A low-complexity DOA tracking algorithm in monostatic MIMO radar is proposed. The proposed algorithm obtains DOA estimation via the difference between previous and current covariance matrix of the reduced-dimension transformation signal, and it reduces the computational complexity and realizes automatic association in DOA tracking. Error analysis and Cramér-Rao lower bound (CRLB) of DOA tracking are derived in the paper. The proposed algorithm not only can be regarded as an extension of array-signal-processing DOA tracking algorithm in (Zhang et al. (2008)), but also is an improved version of the DOA tracking algorithm in (Zhang et al. (2008)). Furthermore, the proposed algorithm has better DOA tracking performance than the DOA tracking algorithm in (Zhang et al. (2008)). The simulation results demonstrate effectiveness of the proposed algorithm. Our work provides the technical support for the practical application of MIMO radar.

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A study of frequency diversity MIMO radar beamforming

Cited by 28 publications

References 26 publications

A Flexible Phased-MIMO Array Antenna with Transmit Beamforming

A Flexible Phased-MIMO Array Antenna with Transmit Beamforming

Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar

Computationally Efficient DOA Tracking Algorithm in Monostatic MIMO Radar with Automatic Association

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