Non‐circular generalised‐ESPRIT algorithm for direction of arrival estimation

Wang, Zheng; Zhang, Xiaofei; Sun, Huiyu; Cao, Renzheng

doi:10.1049/iet-rsn.2016.0349

Cited by 34 publications

(16 citation statements)

References 25 publications

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“…Most DoA estimation techniques rely on an array-based hardware architecture, such as Bartlett algorithm 1–3 , Capon algorithm 4–7 , MUSIC algorithm 8–12 and ESPRIT algorithm 13–17 . Because these techniques require beam synthesis on the receiver side, the channel information is collected by means of synthesizing a composite aperture either mechanically, such as in synthetic aperture radar (SAR) 17–19 , or electronically, such as in phased arrays 20–24 . Mechanical scanning is not desirable in that the data acquisition time can be large, posing a significant challenge for real-time operation.…”

Section: Introductionmentioning

confidence: 99%

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Yurduseven

Abbasi

Fromentèze

et al. 2019

Sci Rep

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We present a frequency-diverse based direction of arrival (DoA) estimation technique for millimetre-wave (mmW) 5G channel sounding. Frequency-diversity enables the creation of spatially incoherent radiation masks to encode the plane-wave signals incident on the radar aperture using a single antenna. Leveraging the frequency-diversity concept, spatial information of the plane-wave projections on the radar aperture is retrieved, resulting in high-fidelity DoA estimations by means of a simple Fourier transform operation applied to the retrieved plane-wave projection patterns. It is demonstrated that using the frequency-diversity concept, DoA estimation can be achieved through a simple frequency sweep, compressing the incoming plane-waves into a single channel through the transfer function of the radar aperture. This results in a significant simplification in the system hardware, requiring only a single antenna to achieve DoA estimation. It is also shown that the proposed technique can simultaneously detect the DoA information for multiple sources with a diffraction limited resolution.

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Section: Introductionmentioning

confidence: 99%

Frequency-Diverse Computational Direction of Arrival Estimation Technique

Yurduseven

Abbasi

Fromentèze

et al. 2019

Sci Rep

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“…The deterministic CRB in the presence of both circular and noncircular signals is given by (17). As (17) is derived in the general signal structure of (6) From (11) and (13), the Fisher information matrix is represented as…”

Section: Discussionmentioning

confidence: 99%

Cramér-Rao Bounds for Direction Estimation in the Presence of Circular and Noncirular Signals

Choi

2020

IEEE Access

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In direction finding, the use of noncircularity of signals arriving at a sensor array can allow us to improve estimation performance. It will be more realistic, rather than the assumption of all noncircular sources, to consider some sources transmitting circular signals. In the presence of both circular and noncircular signals, this paper presents the deterministic Cramér-Rao bound (CRB) of direction estimation. The derivation of the CRB is quite general so that the bounds with unknown signal structures and with known waveforms can be readily obtained from it. Moreover, we show that the more information on signal structures is available the less the CRB is. And we present general conditions under which the CRBs for the direction parameters obtained from different Fisher information matrices are equal. Based on these basic theoretical results, the bounds with different information are analytically compared. Numerical results confirm the theoretical results.

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“…Compared with the MUSIC algorithm, estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm does not require strict array calibration and searching for the spectrum peak [17]. Thus, it can reduce the computation complexity and enhance the response speed significantly, which is vital for signal estimation in the motion [18]. From the above, the investigation of how to combine LWA with the ESPRIT algorithm is significant to further enhance the existing DOA technique.…”

Section: Introductionmentioning

confidence: 99%