Reduced complexity DOA and DOD estimation for a single moving target in bistatic MIMO radar

Ali, Haider; Ahmed, Sajid; Sharawi, Mohammad S.; Alouini, Mohamed‐Slim; Al-Naffouri, Tareq Y.

doi:10.1016/j.sigpro.2019.107276

Cited by 6 publications

(8 citation statements)

References 38 publications

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“…Figure 15 shows the operation times of the proposed scheme using (20); the cost function, which uses the parameter (β 2 ) of the constraint condition derived in this paper; and the scheme using the cost function without constraint condition in (19). The operation times of the two ways depend on the number of total elements of the transmitter and receiver.…”

Section: Parameter Valuementioning

confidence: 99%

“…In order to detect the low TS submarines or vessels, a number of DOA estimation algorithms implemented in bistatic MIMO sonar systems have been extensively studied. The conventional beamforming, the adaptive beamforming and MUSIC, which are representative DOA estimation algorithms, have been expanded to the DOD/DOA estimation algorithms [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…In [19], to estimate the DOD and DOA and the Doppler shift of a moving target for a MIMO radar system, a reduced dimension and low complexity algorithm has been proposed.…”

Section: Introductionmentioning

confidence: 99%

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Direction-of-Departure and Direction-of-Arrival Estimation Algorithm Based on Compressive Sensing: Data Fitting

2020

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In this paper, a compressive sensing-based data fitting direction-of-departure/direction-of-arrival (DOD/DOA) estimation algorithm is proposed to apply the superior performance of compressive sensing method to the bistatic MIMO sonar systems. The algorithm proposed in this paper optimizes the output data via convex optimization-based sparse recovery, so that it is possible to estimate the DOD and the DOA for each target accurately. In order to minimize the amount of computation, the cost function with constraint condition is implemented in this paper. Furthermore, the constraint condition parameter of the cost function is analytically derived. Through various simulations, it is shown that the superior DOD and DOA estimation performance of the proposed algorithm and that the analytical derivation of the constraint condition parameter is useful for determination of regularization parameter.

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Section: Parameter Valuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Direction-of-Departure and Direction-of-Arrival Estimation Algorithm Based on Compressive Sensing: Data Fitting

2020

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“…is leads to its more underlying benefits over phased-array radar [15][16][17] (e.g., enhancing the spatial resolution, fading effect overcoming, and enhancing the parameter identifiability). MIMO radar can be regarded as an expansion of the phased-array radar, where the exploited waveforms are effectively independent [18]. Generally, MIMO radars can be divided into two types, the collocated MIMO radar and the statistical MIMO radar, based on the different array antenna configurations [19].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the collocated MIMO radars are categorised into two types, namely, the monostatic MIMO radar and the multistatic MIMO radar. Due to the fact that the emitting and receiving antennas are not in the identical location, the DOD and DOA estimation has become a considerable research matter [4,[18][19][20][21]. In our work, we mainly focus on the DOD and DOA estimation issue in the bistatic MIMO radar.…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Unitary ESPRIT Algorithm in Bistatic MIMO Radar

Liu

Xue

et al. 2021

Mathematical Problems in Engineering

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A low complexity unitary estimating signal parameter via rotational invariance techniques (ESPRIT) algorithm is presented for angle estimation in bistatic multiple-input-multiple-output (MIMO) radar. The devised algorithm only requires calculating two submatrices covariance matrix, which reduces the computation cost in comparison with subspace methods. Moreover, the signal subspace can be efficiently acquired by exploiting the NystrÖm method, which only needs O M N K 2 flops. Thus, the presented algorithm has an essentially diminished computational effort, especially useful when K ≪ M N , while it can achieve efficient angle estimation accuracy as well as the existing algorithms. Several theoretical analysis and simulation results are provided to demonstrate the usefulness of the proposed scheme.

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DMCE-FrPSD-Based Parameter Estimation Method for Bistatic MIMO Radar Under Alpha-Stable Distributed Noise

Dai¹,

Qiu²,

Luan³

et al. 2023

Circuits Syst Signal Process

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Reduced complexity DOA and DOD estimation for a single moving target in bistatic MIMO radar

Cited by 6 publications

References 38 publications

Direction-of-Departure and Direction-of-Arrival Estimation Algorithm Based on Compressive Sensing: Data Fitting

Direction-of-Departure and Direction-of-Arrival Estimation Algorithm Based on Compressive Sensing: Data Fitting

Computationally Efficient Unitary ESPRIT Algorithm in Bistatic MIMO Radar

DMCE-FrPSD-Based Parameter Estimation Method for Bistatic MIMO Radar Under Alpha-Stable Distributed Noise

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