Symmetric flipped nested array for mixed near‐field and far‐field non‐circular source localisation

Wang, Yinsheng; Cui, Weijia; Ba, Bin; Quan, Mengjiao; Yu, Zhenhua

doi:10.1049/rsn2.12294

Cited by 10 publications

(10 citation statements)

References 39 publications

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“…In this section, computer simulation results to demonstrate the performance advantages of proposed array over other arrays in DOA and range estimation of mixed‐field NC signals. SNA, [31] SDNA, [32] ISNA [33] and SFNA [30] were chosen to compare with the proposed array in three dimensions of signal‐to‐noise (SNR), snapshots, DOF, respectively. Using a total of 13 physical array sensors with unit inter‐element spacing

d=\frac{\lambda }{4}

, and the incident signal was a BPSK signal.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…To better quantify the performance of ISFNA, we compare it with SNA [31], SDNA [32], ISNA [33] and SFNA [30] in two aspects: consecutive lags and mutual coupling coefficient [34] for different numbers of physical sensors, Q . In particular, Figure 3 shows the structure of SFNA and ISFNA, showing the difference between SFNA and ISFNA more clearly.…”

Section: Improved Symmetric Flipped Nested Arraymentioning

confidence: 99%

“…By analyzing (31), a * e (𝜃 k , r k ) ⊗ a e (𝜃 k , r k ) and a e (𝜃 k , r k ) ⊗ a * e (𝜃 k , r k ) corresponds to the steering of vector of the difference co-array, similarly, a * e (𝜃 k , r k ) ⊗ a * e (𝜃 k , r k )e − j 𝜓 k and a e (𝜃 k , r k ) ⊗ a e (𝜃 k , r k )e j 𝜓 k can be regarded as the sum co-array [30].…”

Section: Data Extensionmentioning

confidence: 99%

“…According to the above, in [30], a symmetric flipped nested array (SFNA) was proposed for parameter estimation of mixed field NC signals according to the properties of mixed field NC signals, which significantly improved the degree of freedom (DOF). Based on SFNA, we propose an improved symmetric flipped nested array (ISFNA) with larger array aperture, more sparser array element spacing and higher DOF.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improved symmetric flipped nested array for mixed near‐field and far‐field non‐circular sources localization

Wang

Cui

et al. 2023

IET Communications

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At present, there are few sparse arrays used in the mixed near-field (NF) and far-field (FF) localization based on non-circular (NC) signals. Inspired by the symmetric flipped nested array (SFNA) used in the existing mixed NF and FF NC source, in order to further improve the parameter estimation accuracy of the mixed NF and FF NC signal, an improved symmetric flipped nested array (ISFNA) for mixed NF and FF NC sources localization was developed. First, the uniform subarrays in the SFNA are rearranged, ⌈ N 2 2⌉ − 1 elements are extracted from the uniform subarrays and rearranged into ISFNA. ISFNA is more sparse, the array aperture is larger, and the array degree of freedom (DOF) is higher; second, the formula of the maximum consecutive lags of ISFNA is given; third, a special fourth-order cumulant is used to eliminate the range parameter and then use a one-dimensional (1-D) spectral peak search to obtain all Directions of Arrival (DOAs). By defining the range search, the range can be obtained by bringing in estimated DOAs. Finally, the superiority of the proposed array is proved by simulation.

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d=\frac{\lambda }{4}

, and the incident signal was a BPSK signal.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: Improved Symmetric Flipped Nested Arraymentioning

confidence: 99%

Section: Data Extensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved symmetric flipped nested array for mixed near‐field and far‐field non‐circular sources localization

Wang

Cui

et al. 2023

IET Communications

Self Cite

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“…In the subject of direction of arrival (DOA) estimation, mixed near-field (NF) and far-field (FF) signals localisation is a significant research topic. And it is extensively utilised in various military and civil systems, including radar, sonar and seismic exploration [1][2][3][4]. In the classical research area, researchers are interested in the study of DOA estimation in FF environments.…”

Section: Introductionmentioning

confidence: 99%

Passive localisation of mixed near‐field and far‐field signals using the transformed symmetric nested array

Cui

Wang

et al. 2022

IET Radar Sonar & Navi

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Direction of arrival (DOA) estimation of mixed near‐field (NF) and far‐field (FF) signals is one of the key issues in the study of array signal processing. For more precise localisation performance, sparse arrays have drawn the attention of an increasing number of academics. Excitingly, sparse arrays enable larger array apertures and higher degrees of freedom (DOFs) than traditionally used uniform linear arrays. Consequently, this study proposes a transformed symmetric nested array (TSNA) for the passive localisation application regarding mixed NF and FF. There are three processes that go into building the proposed array. In the first step, we swap the positions of the uniform linear arrays and the sparse linear arrays in the nested array. In the second step, we place the corresponding array sensors extracted from the uniform linear array behind the uniform linear array to form a new subarray. In the last step, the TSNA is constructed by folding the formed array in half. Furthermore, we give the formula of the largest consecutive lags of the TSNA and its corresponding constructor. Finally, through theoretical analysis and computer performance simulation, this study illustrates the proposed array's numerous advantages over currently used symmetric sparse arrays.

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Joint DOA, range and polarization estimation based on geometric algebra for near-field non-circular source with a symmetric MIMO array

Wang

2023

Digital Signal Processing

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Symmetric flipped nested array for mixed near‐field and far‐field non‐circular source localisation

Cited by 10 publications

References 39 publications

Improved symmetric flipped nested array for mixed near‐field and far‐field non‐circular sources localization

Improved symmetric flipped nested array for mixed near‐field and far‐field non‐circular sources localization

Passive localisation of mixed near‐field and far‐field signals using the transformed symmetric nested array

Joint DOA, range and polarization estimation based on geometric algebra for near-field non-circular source with a symmetric MIMO array

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