New Generalized Multi-Structured MIMO Radar Configuration With Increased Degrees of Freedom

Shaikh, Abdul Hayee; Dang, Xiaoyu; Huang, Daqing

doi:10.1109/lcomm.2021.3049855

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…Simulation results: To verify the performance of the DMISC-ETCA, this section simulates uDOFs and mutual coupling leakage versus the number of sensors, and the root mean square error (RMSE) [14] of the DMISC-ETCA, NNMIMO [6], NGMIMO [8], and NTRMIMO [7] versus different SNRs and a number of snapshots. The DOA estimation is realized using the spatial smoothing MUSIC algorithm [15].…”

Section: Dmisc-etca Propertiesmentioning

confidence: 99%

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A dilating and embedding scheme for constructing sparse MIMO radar array

Zhang

Guo

Mei³

et al. 2023

Electronics Letters

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In this letter, a dilating and embedding scheme for constructing sparse multiple‐input and multiple‐output radar arrays is addressed, which seeks to increase the uniform degrees of freedom (uDOFs) and reduce the mutual coupling effects for a given number of transmitters and receivers (Tx/Rx). According to this scheme, a dilated maximum inter‐element spacing constraint (MISC) array with an embedded thinned coprime array in the collocated MIMO radar for DOA estimation is proposed. Theoretical analysis shows that the proposed array can provide higher uDOFs and is robust in a scenario with heavy levels of mutual coupling. Numerical simulations are conducted to validate its aforementioned advantages in line with the design scheme.

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Section: Dmisc-etca Propertiesmentioning

confidence: 99%

“…The new transmit-receive array (NTRMIMO) [7] and its improved array (new generalized multi-structured MIMO radar array (NGMIMO) [8]) are designed based on the nested-coprime array architecture. Although compared to the NNMIMO array, they weaken the mutual coupling but reduce the number of uDOFs.…”

mentioning

confidence: 99%

A dilating and embedding scheme for constructing sparse MIMO radar array

Zhang

Guo

Mei³

et al. 2023

Electronics Letters

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“…In this section we present the simulation results of the presented UF3-ATLI1BL MIMO and compare them with the state-of-the-art results (NN-MIMO [10], GNC-MIMO with 3 sub-ULAs in receive array [12], GEN-MIMO [13]). The number of radar pulses used is 500.…”

Section: Simulationsmentioning

confidence: 99%

“…The uDOF and coupling leakage (see (12) in [18]) with respect to the number of sensors are presented in Fig. 3.…”

Section: A Udof and Coupling Leakagementioning

confidence: 99%

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ULA Fitting for MIMO Radar

Shi¹,

Liu²,

Li³

2022

Preprint

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Nowadays, sparse multiple input and multiple output (MIMO) radar design considers the difference coarray of the sum coarray (DCSC) concept and the uniform degrees of freedom is improved significantly. Current sparse MIMO arrays are designed based on transmit and receive arrays with hole-free difference coarrays (DCAs). Recently, the uniform linear array (ULA) fitting (UF) principle is proposed which aims to design sparse arrays (SAs) with desired capacity using cascaded ULAs. However, SAs designed via UF can not guarantee hole-free DCAs. In this letter, we aim to use SAs designed via UF to devise sparse MIMO arrays with low mutual coupling. Strategies of using SAs with non hole-free DCA to design sparse MIMO arrays is introduced as well. Numerical simulations verifies the good performance of the proposed sparse MIMO array in high coupling scenarios.

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Ternary redundant sparse linear array design with high robustness

et al. 2023

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Sparse linear array is prone to element failure affected by environmental and other factors in practical application, resulting in the decline of degrees of freedom and the attenuation or even failure of direction of arrival (DOA) estimation performance. To address this problem, a ternary redundant sparse array composed of three uniform linear arrays with different spacings at specific distances is designed, and the analytical expression of its degrees of freedom is derived. The configuration rules of the array are concise, and the difference coarrays of the array are hole-free. Mathematically proves that all virtual array elements can be covered with a weight of not less than 3 except the 4 farthest. The array has lower sensors importance and less generalized k-fragility. The array design takes into account the maximum degrees of freedom, redundancy and sparsity. In case of sensors failure, compared with the other sparse linear arrays, the array has more stable difference coarrays and higher uniform degrees of freedom. Compared with multiple-fold redundancy arrays, the array has lower mutual coupling. Simulation results show that the ternary redundant array has superior robustness and higher DOA estimation accuracy under sensors failure.

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New Generalized Multi-Structured MIMO Radar Configuration With Increased Degrees of Freedom

Cited by 10 publications

References 17 publications

A dilating and embedding scheme for constructing sparse MIMO radar array

A dilating and embedding scheme for constructing sparse MIMO radar array

ULA Fitting for MIMO Radar

Ternary redundant sparse linear array design with high robustness

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