A Study of Wireless Indoor Positioning Based on Joint TDOA and DOA Estimation Using 2-D Matrix Pencil Algorithms and IEEE 802.11ac

Gaber, Abdo; Omar, A.S.

doi:10.1109/twc.2014.2386869

Cited by 91 publications

(33 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed algorithm is compared with 2D-MUSIC algorithm, ESPRIT algorithm, 2D MP algorithm [16], and 1D MP algorithm [13]. The TOA and DOA RMSE curves of each algorithm's first path are shown in Figures 10 and 11, respectively, and compared with the CRB of this model.…”

Section: Simulationmentioning

confidence: 99%

“…In the multipath environment of WINNER A1 LOS channel, the channel frequency response reconstruction method can provide the best performance, but this method is mainly based on the received preamble sequence. In the environment of indoor multipath, the twodimensional matrix pencil (2D MP) algorithm is presented in [16] to achieve the joint estimation of time delay and arrival angle, which has low computational complexity, but sacrifices the effective array element and bandwidth. Zhou et al [17] provide a joint estimation algorithm of delay and DOA, which uses the frequency domain data of single antenna for MUSIC time delay estimation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast Estimation Method of Space-Time Two-Dimensional Positioning Parameters Based on Hadamard Product

Zheng

Song

et al. 2018

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

The estimation speed of positioning parameters determines the effectiveness of the positioning system. The time of arrival (TOA) and direction of arrival (DOA) parameters can be estimated by the space-time two-dimensional multiple signal classification (2D-MUSIC) algorithm for array antenna. However, this algorithm needs much time to complete the two-dimensional pseudo spectral peak search, which makes it difficult to apply in practice. Aiming at solving this problem, a fast estimation method of space-time two-dimensional positioning parameters based on Hadamard product is proposed in orthogonal frequency division multiplexing (OFDM) system, and the Cramer-Rao bound (CRB) is also presented. Firstly, according to the channel frequency domain response vector of each array, the channel frequency domain estimation vector is constructed using the Hadamard product form containing location information. Then, the autocorrelation matrix of the channel response vector for the extended array element in frequency domain and the noise subspace are calculated successively. Finally, by combining the closed-form solution and parameter pairing, the fast joint estimation for time delay and arrival direction is accomplished. The theoretical analysis and simulation results show that the proposed algorithm can significantly reduce the computational complexity and guarantee that the estimation accuracy is not only better than estimating signal parameters via rotational invariance techniques (ESPRIT) algorithm and 2D matrix pencil (MP) algorithm but also close to 2D-MUSIC algorithm. Moreover, the proposed algorithm also has certain adaptability to multipath environment and effectively improves the ability of fast acquisition of location parameters.

show abstract

Section: Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast Estimation Method of Space-Time Two-Dimensional Positioning Parameters Based on Hadamard Product

Zheng

Song

et al. 2018

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…The traditional direction of arrival (DOA) estimation originates from 1960s; it is usually used in radar [1][2][3][4][5], underwater detection [6][7][8], and mobile communication [9][10][11][12][13][14][15]. Generally speaking, most of the direction finding algorithms need to know the accurate array manifold, and they are very sensitive to the errors in the sensor channels.…”

Section: Introductionmentioning

confidence: 99%

DOA estimation for far-field sources in mixed signals with mutual coupling and gain-phase error array

Zhen

Guo

2018

J Wireless Com Network

View full text Add to dashboard Cite

Mutual coupling and gain-phase errors are very common in sensor channels for array signal processing, and they have serious impacts on the performance of most algorithms, especially in practical applications. Therefore, a new approach for direction of arrival (DOA) estimation of far-field sources in mixed far-field and near-field signals in the presence of mutual coupling and gain-phase imperfections is addressed. First, the model of received data with two kinds of array errors is founded. Then matrix transformation is used for simplifying the spectrum function according to the structure of the uniform linear array (ULA). At last, DOA of far-field signals can be obtained through searching the peaks of the modified spatial spectrum. The usefulness and behavior of the presented approach are illustrated by simulated experiments.

show abstract

“…In array signal processing, target direction of arrival (DOA) estimation has been widely applied in radar, sonar, wireless indoor positioning [1][2][3] and so on. Since the uniform rectangular array (URA) can provide the information of azimuth and elevation angles, a lot of 2D DOA methods have been developed, such as multiple signal classification (MUSIC) algorithm [4][5][6], root-MUSIC [7], estimation of signal parameters via rotational invariance technique (ESPRIT) algorithm [8,9], and rank reduce (RARE) algorithm [10].…”

Section: Introductionmentioning

confidence: 99%

Estimating Direction of Arrival by Using Two-Dimensional State-Space Balance Method

Wang

Xiang

Wei

et al. 2017

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

A study of a two-dimensional state-space balance (2D SSB) method for estimating direction of arrival (DOA) for uniform rectangular array (URA) is presented in this letter. The comprehensive utilization of controllability and observability matrices and automatic pairing technique are considered in this method by using the single snapshot. Therefore, the DOAs of elevation angle and azimuth angle can pair automatically and acquire better estimation performance compared with 2D matrix pencil method or unitary matrix pencil method. In addition, the proposed method can handle correlated signals directly without preprocessing. Simulation is conducted to verify the effectiveness of the proposed method.

show abstract

A Study of Wireless Indoor Positioning Based on Joint TDOA and DOA Estimation Using 2-D Matrix Pencil Algorithms and IEEE 802.11ac

Cited by 91 publications

References 20 publications

Fast Estimation Method of Space-Time Two-Dimensional Positioning Parameters Based on Hadamard Product

Fast Estimation Method of Space-Time Two-Dimensional Positioning Parameters Based on Hadamard Product

DOA estimation for far-field sources in mixed signals with mutual coupling and gain-phase error array

Estimating Direction of Arrival by Using Two-Dimensional State-Space Balance Method

Contact Info

Product

Resources

About