Combined root‐MUSIC algorithms for multi‐carrier MIMO radar with sparse uniform linear arrays

Liu, Aihua; Zhang, Xin; Yang, Qiang; Wu, Xiaochuan; Deng, Weibo

doi:10.1049/iet-rsn.2018.5207

Cited by 8 publications

(8 citation statements)

References 30 publications

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“…Typically, a DF system is composed of an antenna array, a circuit for conditioning the received signals, and a processor running an algorithm that estimates the DoA of the incoming waves. Many antenna array configurations are presented in the literature as solutions for DF systems, as well as a variety of algorithms for DoA estimation [ 1 , 2 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ]. However, due to formulation complexity, some algorithms for DoA estimation do not often consider the inherent properties of antenna arrays [ 17 ], i.e., the radiation patterns, mutual coupling, and polarization are not taken into account in the calculations [ 15 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

“…Many antenna array configurations are presented in the literature as solutions for DF systems, as well as a variety of algorithms for DoA estimation [ 1 , 2 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ]. However, due to formulation complexity, some algorithms for DoA estimation do not often consider the inherent properties of antenna arrays [ 17 ], i.e., the radiation patterns, mutual coupling, and polarization are not taken into account in the calculations [ 15 , 18 , 19 ]. To compensate for this simplification, some calibration techniques have been proposed [ 20 , 21 , 22 ], but in general, they involve an additional phase of measurements.…”

Section: Introductionmentioning

confidence: 99%

“…This analysis is of great utility for DF systems installed on moving platforms [ 34 ]. By using prototypes of printed arrays, two distinct situations are studied: in the first one, a linear array of six quarter-wave monopoles is considered, since this type of array is widely used in DF systems [ 15 , 20 , 21 ], whilst in the second one, a planar microstrip antenna array with polarization diversity is employed, thus allowing for the identification of any wave polarization state. In the experimental tests, the polarization and direction of the incoming waves were very well estimated with exceedingly small errors (less than 6°).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

Fabiani

Sakomura

Silveira

et al. 2021

Sensors

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Direction finding (DF) systems are used to determine the direction-of-arrival (DoA) of electromagnetic waves, thus allowing for the tracking of RF sources. In this paper, we present an alternative formulation of antenna arrays for modeling DF systems. To improve the accuracy of the data provided by the DF systems, the effects of mutual coupling in the array, polarization of the received waves, and impedance mismatches in the RF front-end receiver are all taken into account in the steering vectors of the DoA algorithms. A closed-form expression, which uses scattering parameter data and active-element patterns, is derived to compute the receiver output voltages. Special attention is given to the analysis of wave polarization relative to the DF system orientation. Applying the formulation introduced here, a complete characterization of the received waves is accomplished without the need for system calibration techniques. The validation of the proposed model is carried out by measurements of a 2.2 GHz DF system running a MUSIC algorithm. Tests are performed with a linear array of printed monopoles and with a planar microstrip antenna array having polarization diversity. The experimental results show DoA estimation errors below 6° and correct classification of the polarization of incoming waves, confirming the good performance of the developed formulation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

Fabiani

Sakomura

Silveira

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Multiple input multiple output (MIMO) radar has become an hot research topic [1]- [4] due to its advantages in the field of radar and communication. By transmitting mutually orthogonal waveforms, MIMO radar can exhibit higher resolution, better parameter identifiability, greater flexibility in the beampattern design and more degree of freedom (DOF) over conventional phased-array radar associated with coherent waveforms [5]- [7]. Based on the array configuration, MIMO radar systems are generally categorised into statistical MIMO radar with the spatial diversity [8] and colocated MIMO radar with the waveform diversity [9].…”

Section: Introductionmentioning

confidence: 99%

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

et al. 2019

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In this paper, an efficient method via unitary joint diagonalization is proposed to deal with the coherently distributed sources in bistatic multiple-input multiple-output (MIMO) radar systems. In order to determine the direction of departure (DOD) and direction of arrival (DOA) of the coherently distributed source, a special array configuration is designed both for transmitter and receiver in bistatic MIMO radar system. Then, a new signal model can be obtained by utilizing the designed array characteristic and the rotational invariance relationship is constructed both for DOD and DOA. For the special rotational invariance relationship, the joint diagonalization technique is adopted to locate the coherently distributed sources and the angular parameters are automatically paired without multidimensional search process. The proposed joint diagonalization method can also determine the targets when multiple imping sources have the common DODs or DOAs. Finally, the approximate determined Cramer-Rao bound of the proposed estimator for the coherently distributed sources is also derived. And, additional numerical results are conducted to verify the effectiveness and superiority of the proposed method. INDEX TERMS Bistatic MIMO radar, unitary joint diagonalization, coherently distributed sources, direction of departure estimation, direction of arrival estimation.

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“…In recent years, the estimation of angular parameters in multiple-input multiple-output (MIMO) radar has become a hot research topic [1]- [4] due to its advantages in the field of radar signal processing. MIMO radar together with orthogonal waveforms can obtain higher resolution, better parameter identifiability, greater flexibility in the beampattern design and more degrees of freedom (DOFs) over the conventional phased-array radar associated with coherent waveforms [5]- [7]. According to [8] and [9], MIMO radar systems are generally categorised into the statistical MIMO radar systems and the colocated MIMO radar systems.…”

Section: Introductionmentioning

confidence: 99%

Sparsity-Based Direction-of-Departure and Direction-of-Arrival Estimation for Bistatic Multiple-Input Multiple-Output Radar

et al. 2019

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This paper provides an efficient method to determine the direction of departure (DOD) and direction of arrival (DOA) in bistatic multiple-input multiple-output (MIMO) radars. The proposed method firstly decouples the DOD and DOA parameters by converting the original received signal model into two separate new signal models. The new signal model corresponding to DOA can be directly obtained by matched filtering operation. In order to obtain the model for DOD, vectorization operation and kronecker transformation are utilized after the matched filtering operation. Both the new signal models for DOA and DOD behave like an augmented signal model of uniform linear array (ULA). Then, a covariance-vector sparsity-aware estimator is developed to find the accurate angular parameter. Meanwhile, in order to improve the estimation accuracy, the additive noise is eliminated by exploiting the toeplitze structure inherent in the array received covariance matrix and the asymptotic distribution of the sampling errors is also derived. Furthermore, the regularization parameter setting used by the proposed estimator is derived with the aid of the Lagrangian duality theory to guarantee the sparsity of solution. Simulation results are conducted to verify the effectiveness and the superiority of the sparsity-based estimator over other methods in terms of the angular estimation accuracy.

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Combined root‐MUSIC algorithms for multi‐carrier MIMO radar with sparse uniform linear arrays

Cited by 8 publications

References 30 publications

Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

Sparsity-Based Direction-of-Departure and Direction-of-Arrival Estimation for Bistatic Multiple-Input Multiple-Output Radar

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