Low-complexity estimation of 2D DOA for coherently distributed sources

Lee, Jooshik; Song, Iickho; Kwon, Hyoungmoon; Lee, Sung Ro

doi:10.1016/s0165-1684(03)00103-8

Cited by 73 publications

(56 citation statements)

References 23 publications

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“…Clearly, this task may be critical in terms of processing power and battery consumption for sensor nodes. We note, however, that (1) according to our simulation results, accurate localization can be achieved with a limited number of antennas per sensor, resulting in an affordable complexity for typical state-of-the-art embedded processors (for a practical DSP implementation of MUSIC, we refer to [30]); (2) although we have considered here the classic MUSIC algorithm, low-complexity variants exist in the literature (see, for example, [31][32][33]). The DoA fusion step (using LS or Stansfield estimation) then involves solving a system of linear equations (Equations 32 and 34).…”

Section: Implementation Issuesmentioning

confidence: 99%

Cooperative DoA-only localization of primary users in cognitive radio networks

Penna

Čabrić

2013

J Wireless Com Network

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In this paper, we investigate localization techniques based on direction-of-arrival (DoA) measurements to estimate the position of primary users in cognitive radio networks. In the proposed approach, different multi-antenna sensors estimate the DoA of a primary signal by subspace-based techniques and the target position is estimated from the available DoA measurements using maximum-likelihood, least-squares, or Stansfield estimators. The resulting localization performance is evaluated numerically and compared to the Cramr-Rao bound derived under a considered problem setting. The impact of several system parameters (in particular, number of sensors and number of antennas per sensors) is thoroughly analyzed and discussed.

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Section: Implementation Issuesmentioning

confidence: 99%

Cooperative DoA-only localization of primary users in cognitive radio networks

Penna

Čabrić

2013

J Wireless Com Network

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“…The localization of CD sources has been tackled by the classical approaches conceived for point sources [8,[10][11][12], while the localization of ID sources is generally more challenging . Although most of the existing ID source localization methods are proposed for onedimensional (1-D) scenarios, where only the azimuth parameters have to be estimated, some of them can be extended to 2-D scenarios.…”

Section: Introductionmentioning

confidence: 99%

A beamspace approach for 2-D localization of incoherently distributed sources in massive MIMO systems

Tan

Gao

et al. 2016

Signal Processing

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Large scale/massive multiple-input multiple-output systems (LS-MIMO/massive MIMO) Multiple-input multiple-output (MIMO) Uniform cylindrical array (UCyA) a b s t r a c tIn this paper, a generalized low-complexity beamspace approach is proposed for twodimensional localization of incoherently distributed sources with a uniform cylindrical array (UCyA) in large scale/massive multiple-input multiple-output (MIMO) systems. The received signal vectors in the antenna-element space are transformed into the beamspace by employing beamforming vectors. As a beneficial result, the total dimensions of the received signal vectors are significantly reduced. In addition, it is shown that the error introduced by the transformation decreases as the number of UCyA antennas increases. The UCyA is composed of multiple uniform circular arrays (UCAs), and the beamspace array response matrices of adjacent UCAs are linearly related. Then, the linear relation is exploited to estimate the nominal elevation direction-of-arrivals (DOAs) directly and the nominal azimuth DOAs based on a lowcomplexity search algorithm. In contrast, the linear relation in the traditional approach is based on approximations and the associated search algorithm is more complicated. Numerical results demonstrate that the proposed approach outperforms the existing approach in terms of both performance and complexity in the context of massive MIMO systems.

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“…All these methods are involved joint 2-D searching and computationally intensive. Some low-complexity estimators have also been given in [15,16,17,18,19,20]. In the low-complexity algorithms, some of them are sequential 1-D algorithms instead of joint 2-D searching [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…Some low-complexity estimators have also been given in [15,16,17,18,19,20]. In the low-complexity algorithms, some of them are sequential 1-D algorithms instead of joint 2-D searching [16,17]. Others are simpler but suboptimal solutions can be achieved by the subspace-based approach, which relies on signal subspace and noise subspace [18,19,20].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decoupled Nominal 2-D Direction-of -Arrival Estimation Algorithm for Coherently Distributed Source

Han¹,

Wang²,

Zhao³

2014

Appl. Math. Inf. Sci.

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A computationally efficient method for nominal 2-D (azimuth and elevation) direction-of-arrival (DOA) estimation of coherently distributed source impinging on the far field is presented. Since the coherently distributed source is characterized by four parameters, the nominal azimuth DOA, angular spread of the nominal azimuth DOA, the nominal elevation DOA, and angular spread of the nominal elevation DOA, the computational complexity of the parameter estimation is normally high demanding. So a low complexity estimation algorithm is proposed in this paper, the key idea of which is to apply a subspace-based method without eigendecomposition in beamspace and a proposed second-order statistics for estimating the nominal elevation and azimuth DOAs. The proposed decoupled estimation algorithm does not involve any searching. It has a lower computational complexity particularly when the radio of array size to the number of source is large, at the expense of negligible performance loss. Simulation results are included to demonstrate the performance of the proposed technique.

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Low-complexity estimation of 2D DOA for coherently distributed sources

Cited by 73 publications

References 23 publications

Cooperative DoA-only localization of primary users in cognitive radio networks

Cooperative DoA-only localization of primary users in cognitive radio networks

A beamspace approach for 2-D localization of incoherently distributed sources in massive MIMO systems

Decoupled Nominal 2-D Direction-of -Arrival Estimation Algorithm for Coherently Distributed Source

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