DOA Estimation Using Single or Dual Reception Channels Based on Cyclostationarity

Wang, Zhangsheng; Xie, Wei; Zou, Yanzhen

doi:10.1109/access.2019.2912907

Cited by 13 publications

(9 citation statements)

References 24 publications

(26 reference statements)

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“…Conventional, well-known DOA estimation algorithms, such as Bartlett [16], Capon [17], multiple signal classification (MUSIC) [18], root-MUSIC [19], estimation of signal parameters via a rotational invariance technique (ESPRIT) [20], min-norm [21], and the recent variants of these algorithms [22]- [27], have been applied in the area of passive radar [28]- [33]. However, most of these estimation algorithms are not appropriate for SNR values smaller than 0 dB because the estimation accuracy of these algorithms becomes dramatically degraded in the low SNR region (e.g., SNRs below −30 dB).…”

Section: B Motivation Behind This Studymentioning

confidence: 99%

Range-Doppler Domain-Based DOA Estimation Method for FM-Band Passive Bistatic Radar

Park

Kim

2020

IEEE Access

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Recently, a range-Doppler map-based direction-of-arrival (DOA) estimation method was proposed for amplitude modulation (AM) radio-based passive bistatic radar (PBR). This method estimates the incident angle from the phase difference of the range-Doppler-bin (RD-bin) for the specific bistatic range of the cross-ambiguity function (CAF) and the Doppler frequency value rather than the phase difference between each antenna signal. In particular, in AM radio-based PBR, the RD-bin-based signal processing technique was adequately used to transform the range dimension of the CAF into an angular dimension. In this study, we improve the RD-bin-based DOA estimation method for frequency modulation (FM) radio-based PBR. The two main contributions of this paper are as follows. First, we present a criterion for deciding on the number of RD-bins using theoretical analysis. Second, we suggest that other target signals may become interference signals in the presence of multiple targets, which may degrade the DOA estimation accuracy. We also propose a least-squares-based algorithm to solve this problem. From the simulation results, we show that the proposed criterion for deciding on the number of RD-bins is appropriate for FM radio-based PBR and that the proposed least-squares algorithm successfully removes the target interferences.

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Section: B Motivation Behind This Studymentioning

confidence: 99%

Range-Doppler Domain-Based DOA Estimation Method for FM-Band Passive Bistatic Radar

Park

Kim

2020

IEEE Access

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“…|S Pk (ω)|e (jψ Pk (ω)+jωt) dω (7) where ψ Pk (ω) is the phase of S Pk (ω), and A Pk (t) is the amplitude of S Pk (ω). A Pk (t) could be written as follows:…”

Section: Fundamental Of Passive Time Reversal Focusingmentioning

confidence: 99%

“…|S Pk (ω)|e (jψ Pk (ω)−jψ Pk (ω 0 )) e (j(ω−ω 0 )t) dω (8) where ω 0 is carrier frequency of signal source. According to formulas (7) and ( 8), the following formula can be obtained:…”

Section: Fundamental Of Passive Time Reversal Focusingmentioning

confidence: 99%

“…DOA estimation is an important research direction in array signal processing. The basic problem of DOA estimation is to determine the direction of multiple sources of interest existing in a certain region of space at the same time [1]- [7]. Super-resolution DOA estimation algorithms mainly include MUSIC algorithm and ESPRIT algorithm, and DOA estimation based on sparse antenna array [8], [9]has also been widely studied in recent years.…”

Section: Introductionmentioning

confidence: 99%

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A Passive Direction Finding of Virtual Time Reversal Method Based on Cross Antenna Array

Guo

2019

IEEE Access

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This paper presents a passive direction finding of a virtual time reversal method based on cross antenna array (CROSS-VTR), which aim is to solve the problem that the number of antenna elements of planar arrays is too large and the layout of circular arrays is complex which requires high hardware design. In order to verify the feasibility and accuracy of the algorithm, the mathematical model of the cross antenna array is first established. The search area of yaw angle and a pitch angle of the CROSS-VTR algorithm is determined according to the basic principle of passive time reversal focusing, and then, the time-reversed signal of each antenna element completes the time delay compensation at each scanning point in the search area. The compensated signals of each antenna element are added up to obtain the signal energy of each scanning point. The value of the yaw angle and pitch angle is obtained by searching the maximum energy among scanning points along the search route of yaw angle and pitch angle, respectively. Finally, the validity of the method is verified and compared with the music algorithm (multiple signal classification) based on the cross antenna array. The results show that the method has good direction finding accuracy at low signalto-noise ratio.INDEX TERMS Cross antenna array, passive direction finding, DOA estimation algorithm, virtual time reversal method.

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“…The Direction of Arrival (DOA) estimation is a key issue in MIMO radar target parameter estimation, for which many methods have been proposed in the past few decades [4][5][6]. The process is mainly divided into single snapshot angle estimation and multi-snapshot angle estimation.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation With New Compensation Sparse Extension MIMO Radar

Chen

Tian

Gong

et al. 2021

Wireless Pers Commun

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The sparse Multiple-Input-Multiple-Output radar has large array element spacing, which has a great significance for reducing the mutual coupling effects. In this paper, the authors propose a compensation sparse arrays with flexible inter-element spacing (CSA-FIS). Compared with the sparse arrays with flexible inter-element spacing (SA-FIS), the CSA-FIS improves the situation in that the number of virtual sensors significantly decreases when the inter-element spacing of two sub-array is not coprime. Under the guarantee of lower mutual coupling effects, the system degrees of freedom (DOFs) and the number of consecutive virtual sensors are also improved. Meanwhile, a pre-processing DFT-compressed sensing (D-CS) algorithm is proposed, with the purpose to solve the problem that the traditional CS algorithm has a high calculation cost when all non-zero parameters must be estimated. Numerical simulations demonstrate the superiority of the CSA-FIS in terms of DOFs and estimation accuracy when compared with SA-FIS. Moreover, compared with the traditional CS algorithm, the D-CS has lower computational complexity. KeywordsMIMO radar • Sparse arrays • Direction of arrival estimation • Degrees of freedom * Jian Gong

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DOA Estimation Using Single or Dual Reception Channels Based on Cyclostationarity

Cited by 13 publications

References 24 publications

Range-Doppler Domain-Based DOA Estimation Method for FM-Band Passive Bistatic Radar

Range-Doppler Domain-Based DOA Estimation Method for FM-Band Passive Bistatic Radar

A Passive Direction Finding of Virtual Time Reversal Method Based on Cross Antenna Array

DOA Estimation With New Compensation Sparse Extension MIMO Radar

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