An Asymptotic Maximum Likelihood for Joint Estimation of Nominal Angles and Angular Spreads of Multiple Spatially Distributed Sources

Sieskul, Bamrung Tau

doi:10.1109/tvt.2009.2040006

Cited by 35 publications

(31 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As opposed to the traditional element space approaches, such as the LS-based [17,26,27] and the MLbased [17,18] approaches, as well as the existing GMUSIC approach [34], the proposed method estimate angular parameters in the beamspace rather than in the element space. Since the received signal vectors in the beamspace are of much lower dimensions, the proposed method exhibits significantly lower computational complexity than the element space approaches.…”

Section: Algorithm 1 Estimating the Nominal Doas And The Angular Sprmentioning

confidence: 99%

“…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. Among the existing approaches for 2-D localization of ID sources, the maximum likelihood (ML) approach [17], the approximate-ML approach [18], and the least-squares (LS)-based covariance matching approach [17,26,27] can achieve optimal or near optimal performance. However, the search dimensions of these methods are too high for practical implementation, especially in the context of massive MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, the estimation of signal parameters via rotational invariance technique (ESPRIT) [36][37][38] has also been generalized for estimating the 2-D nominal DOAs with two uniform circular arrays (UCAs), and only the nominal azimuth DOAs have to be estimated by searching [34]. Hence, the computational complexity of this approach is lower than that of the abovementioned other methods [17,18,[26][27][28][29][30][31][32]. Unfortunately, the computational complexity of the ESPRIT based approach [34] remains proportional to the cubic of the number of BS antennas.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Tan

Gao

et al. 2016

Signal Processing

View full text Add to dashboard Cite

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.

show abstract

Section: Algorithm 1 Estimating the Nominal Doas And The Angular Sprmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Tan

Gao

et al. 2016

Signal Processing

View full text Add to dashboard Cite

show abstract

“…Although most of the traditional parametric approaches are proposed for 1-D localization of the ID sources, some of them can be extended to the 2-D scenario. Among the existing approaches for 2-D localization of the ID sources, the maximum likelihood (ML) estimator of [25] is optimal, while the approximate ML estimator of [26] exhibits suboptimal performance with lower complexity. However, in these MLbased estimators, the 2-D nominal DOAs and angular spreads of all the UTs are estimated by searching exhaustively over the feasible field.…”

Section: Introductionmentioning

confidence: 99%

An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems

Gao

et al. 2014

IEEE J. Sel. Top. Signal Process.

216

112

View full text Add to dashboard Cite

show abstract

“…For obtaining the exact nominal DOA and angular spread of a spatially distributed source, the problem of distributed source model has been widely studied since the early 1990s, and a large number of methods are proposed for the parameter estimation of distributed source [9][10][11][12][13][14][15][16][17]. However, most of the models and the estimation algorithms can be only exploited in the case of narrowband source, because the location vector in the time domain is time varying when the incident source is wideband.…”

Section: Introductionmentioning

confidence: 99%

Separation and localization of multiple distributed wideband chirps using the fractional Fourier transform

Zhang

Liu

et al. 2015

J Wireless Com Network

View full text Add to dashboard Cite

In this paper, we consider the problem of localizing the multiple distributed wideband chirp sources using the fractional Fourier transform. The model in the time domain and that in the fractional Fourier domain derived by the Taylor series expansion are presented respectively. The representation of location vector in the Dechirping domain is illustrated which is only related to the central angle. A novel direction of arrival (DOA) estimation algorithm in the Dechirping domain is proposed, which is extended from the conventional multiple signal classification (MUSIC) algorithm in the time domain. Using this algorithm, except for estimating the DOA, the incidence source number can be determined as well which is allowed to exceed the sensor number in the array. To demonstrate the performance of proposed algorithm, numerical results are conducted. Compared to the previous FrFT-MUSIC algorithm based on the assumption of point source model, the proposed algorithm performs a better estimation performance, especially for large angular spread and low signal-to-noise ratio.

show abstract

An Asymptotic Maximum Likelihood for Joint Estimation of Nominal Angles and Angular Spreads of Multiple Spatially Distributed Sources

Cited by 35 publications

References 20 publications

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

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

An ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems

Separation and localization of multiple distributed wideband chirps using the fractional Fourier transform

Contact Info

Product

Resources

About