Semi-circular array antennas for DOA-estimation and beamforming

Abstract In this paper, we present a low complexity beamspace direction-of-arrival (DOA) estimation method for uniform circular array (UCA), which is based on the single measurement vectors (SMVs) via vectorization of sparse covariance matrix. In the proposed method, we rstly transform the signal model of UCA to that of virtual uniform linear array (ULA) in beamspace domain using the beamspace transformation (BT). Subsequently, by applying the vectorization operator on the virtual ULA-like array signal model, a new dimension-reduction array signal model consists of SMVs based on Khatri-Rao (KR) product is derived. And then, the DOA estimation is converted to the convex optimization problem. Finally, simulations are carried out to verify the eectiveness of the proposed method, the results show that without knowledge of the signal number, the proposed method not only has higher DOA resolution than subspace-based methods in low signal-to-noise ratio (SNR), but also has much lower computational complexity comparing other sparse-like DOA estimation methods.

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Direction of Arrival Estimation with Compact Array Antennas

Handbook on Advancements in Smart Antenna Technologies for Wireless Networks ◽

10.4018/978-1-59904-988-5.ch010 ◽

2009 ◽

pp. 201-216

Author(s):

Eddy Taillefer ◽

Jun Cheng ◽

Takashi Ohira

Keyword(s):

Single Port ◽

Direction Of Arrival ◽

Doa Estimation ◽

Signal Classification ◽

Direction Of Arrival Estimation ◽

Multiple Signal Classification ◽

Array Antennas ◽

Power Pattern ◽

Parasitic Array ◽

Compact Array

This chapter presents direction of arrival (DoA) estimation with a compact array antenna using methods based on reactance switching. The compact array is the single-port electronically steerable parasitic array radiator (Espar) antenna. The antenna beam pattern is controlled though parasitic elements loaded with reactances. DoA estimation using an Espar antenna is proposed with the power pattern cross correlation (PPCC), reactance-domain (RD) multiple signal classification (MUSIC), and, RD estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithms. The three methods exploit the reactance diversity provided by an Espar antenna to correlate different antenna output signals measured at different times and for different reactance values. The authors hope that this chapter allows the researchers to appreciate the issues that may be encountered in the implementation of direction-finding application with a single-port compact array like the Espar antenna.

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A novel DOA estimation algorithm for a 5-element circular array

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac.2017.8054209 ◽

2017 ◽

Author(s):

Kaibo Cui ◽

Xi Chen ◽

Jingjian Huang ◽

Naichang Yuan

Keyword(s):

Estimation Algorithm ◽

Doa Estimation ◽

Circular Array

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A Sparse Representation Method for Coherent Sources Angle Estimation with Uniform Circular Array

International Journal of Antennas and Propagation ◽

10.1155/2019/3849791 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Xiaolong Su ◽

Zhen Liu ◽

Tianpeng Liu ◽

Bo Peng ◽

Xin Chen ◽

...

Keyword(s):

Objective Function ◽

Sparse Representation ◽

Source Localization ◽

Doa Estimation ◽

Spatial Dimension ◽

Spatial Spectrum ◽

Circular Array ◽

Coherent Sources ◽

Representation Method ◽

Coherent Source

Coherent source localization is a common problem in signal processing. In this paper, a sparse representation method is considered to deal with two-dimensional (2D) direction of arrival (DOA) estimation for coherent sources with a uniform circular array (UCA). Considering that objective function requires sparsity in the spatial dimension but does not require sparsity in time, singular value decomposition (SVD) is employed to reduce computational complexity and ℓ2 norm is utilized to renew objective function. After the new objective function is constructed to evaluate residual and sparsity, a second-order cone (SOC) programming is employed to solve convex optimization problem and obtain 2D spatial spectrum. Simulations show that the proposed method can deal with the case of coherent source localization, which has higher resolution than 2D MUSIC method and does not need to estimate the number of coherent sources in advance.

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Direction of Arrival Estimation of GPS Narrowband Jammers Using High-Resolution Techniques

Sensors ◽

10.3390/s19245532 ◽

2019 ◽

Vol 19 (24) ◽

pp. 5532 ◽

Cited By ~ 1

Author(s):

Mohamed Moussa ◽

Abdalla Osman ◽

Mohamed Tamazin ◽

Michael J. Korenberg ◽

Aboelmagd Noureldin

Keyword(s):

Linear Array ◽

Classical Method ◽

Spatial Separation ◽

Direction Of Arrival ◽

Doa Estimation ◽

Circular Array ◽

Gps Receivers ◽

Fast Orthogonal Search ◽

Jamming Detection ◽

Ultimate Objective

GPS jamming is a considerable threat to applications that rely on GPS position, velocity, and time. Jamming detection is the first step in the mitigation process. The direction of arrival (DOA) estimation of jamming signals is affected by resolution. In the presence of multiple jamming sources whose spatial separation is very narrow, an incorrect number of jammers can be detected. Consequently, mitigation will be affected. The ultimate objective of this research is to enhance GPS receivers’ anti-jamming abilities. This research proposes an enhancement to the anti-jamming detection ability of GPS receivers that are equipped with a uniform linear array (ULA) and uniform circular array (UCA). The proposed array processing method utilizes fast orthogonal search (FOS) to target the accurate detection of the DOA of both single and multiple in-band CW jammers. Its performance is compared to the classical method and MUSIC. GPS signals obtained from a Spirent GSS6700 simulator and CW jamming signals were used. The proposed method produces a threefold advantage, higher accuracy DOA estimates, amplitudes, and a correct number of jammers. Therefore, the anti-jamming process can be significantly improved by limiting the erroneous spatial attenuation of GPS signals arriving from an angle close to the jammer.

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