A Unified Array Geometry Composed of Multiple Identical Subarrays With Hole-Free Difference Coarrays for Underdetermined DOA Estimation

Yang, Minglei; Haimovich, Alexander M.; Yuan, Xin; Sun, Lei; Chen, Baixiao

doi:10.1109/access.2018.2813313

Cited by 35 publications

(30 citation statements)

References 30 publications

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“…Similarly, the receiver would be a 6-element YINA capable of providing an aperture of 13. The respective transmitting and receiving arrays can then be easily obtained since YINA has closed-form 19,38,114,190,247] [0, 1,4,7,9,19,20,23,26,28,38,39,42,45,47,114,115,118,121,123,190,191,194,197,199,247,248,251,254,256] 17,34,51,119,187] [0, 1,2,5,8,17,18,19,22,25,34,35,36,39,42,51,52,53,…”

Section: Numerical Simulation Resultsmentioning

confidence: 99%

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Gudheti

2020

PIER B

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Automotive radars make use of angle information obtained from antenna arrays to distinguish objects that lie in the same range-doppler cell (relative to the ego vehicle). This paper proposes novel ways of using presently known minimum redundancy arrays (MRAs) in single-input multiple-output (SIMO) and multiple-input multiple-output (MIMO) automotive radars. Firstly, an MRA-based sparse MIMO array is proposed as a novel modification to the nested MIMO array. The proposed sparse MIMO array uses MRAs as the transmitting and receiving modules, unlike the nested MIMO array, which uses two-level nested arrays (TLNAs) at the transmitting and receiving blocks. Upper bounds for the sum co-array aperture and the overall attainable degrees of freedom (DOF) offered by the MIMO radar have been derived in terms of the number of sensors. Secondly, the suitability of large Low-Redundancy Linear Arrays (LRLAs) in SIMO automotive radars is also studied. A long-range automotive radar driving scenario was assumed for DOA estimation and simulations were carried out in MATLAB using the co-array MUltiple SIgnal Classification (co-array MUSIC) algorithm. Simulation results confirm that the proposed MRA-based MIMO array provides better angular resolutions than the nested MIMO array for the same number of sensors and that LRLAs can serve as a handy replacement for ULAs in SIMO radars owing to their acceptable performance. As MIMO and SIMO radars designed from currently known MRAs were sufficient to satisfy the angular resolution requirements of modern automotive radars, a need to synthesize new MRAs did not arise.

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Section: Numerical Simulation Resultsmentioning

confidence: 99%

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Gudheti

2020

PIER B

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“…Then, it is easy to Table 2 shows the DOFs of three multiplenested arrays under different numbers of sensors. From Table 2, we can see clearly that the proposed multiple-nested array can provide more DOFs than DTNA [14] and DTNA.…”

Section: Construction Ofttnamentioning

confidence: 94%

“…We use the new description only for the convenience of expression in the following page. In addition, the DTNA is first proposed by Yang et al in [14], but the DTNA [14] consists of multiple nested arrays [8]. In [21], the authors have proposed a nested MIMO array, whose equivalent array construction is the same as the DTNA in Fig.…”

Section: Construction Ofttnamentioning

confidence: 99%

“…Recently, two kinds of sparse linear arrays, called as co-prime arrays [2][3][4][5][6][7] and nested arrays [8][9][10][11][12][13][14][15][16][17][18][19][20][21], have gained wide attention. In addition, concentric-ring isophoric sparse array [22] is another important array structure which is used widely for optimal power synthesis of beams.…”

Section: Introductionmentioning

confidence: 99%

“…The generalized nested array presented in [13] can also work for reducing mutual coupling, but it cannot increase the DOFs. In [14], the authors used many preexisting arrays to construct some new sparse arrays including a double two-level nested array (DTNA) construction. Compared with the nested arrays in [8,[10][11][12][13], the nested arrays in [15,16] can offer more DOFs.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Triple Two-Level Nested Array With Improved Degrees of Freedom

Liu¹,

Liu²,

Zhao³

et al. 2019

PIER B

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A triple two-level nested array (TTNA) configuration is proposed for direction-of-arrival (DOA) estimation of multiple time-space signals. The proposed TTNA consists of multiple two-level nested arrays, and the distance between two adjacent nested arrays is also given according to a nested array. As traditional nested arrays, it can generate a hole-free different co-array. Compared with some preexisting nested arrays, the proposed nested array can offer more degrees of freedom (DOFs). The closed-form expression of DOFs and the array configuration are given. Moreover, the detailed process for the construction of extended covariance matrix also is obtained. The simulation results show that the proposed method offers improved performance in the precision of DOA estimation due to the increase of virtual sensors.

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DOA Estimation Considering Mutual Coupling with Fractal Based Array Using Model Based Approach

Raiguru

Mishra

Mohanty

2019

Lecture Notes in Electrical Engineering

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A Unified Array Geometry Composed of Multiple Identical Subarrays With Hole-Free Difference Coarrays for Underdetermined DOA Estimation

Cited by 35 publications

References 30 publications

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Novel Mra-Based Sparse Mimo and Simo Antenna Arrays for Automotive Radar Applications

Triple Two-Level Nested Array With Improved Degrees of Freedom

DOA Estimation Considering Mutual Coupling with Fractal Based Array Using Model Based Approach

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