scholarly journals Beamspace MUSIC Algorithm based on Space-time Array Signal Model

2019 ◽  
Vol 1284 ◽  
pp. 012051
Author(s):  
B Yang ◽  
B Yang ◽  
C Wang ◽  
H X Shen
Keyword(s):  
Space Time ◽  
Music Algorithm ◽  
Signal Model

SS-BMUSIC Algorithm for Space-Time 2D Signal Model

2014 ◽  
Vol 654 ◽  
pp. 346-351 ◽  
Author(s):  
Yang Jun ◽  
Qi Feng
Keyword(s):  
Computational Complexity ◽  
Space Time ◽  
Smoothing Effect ◽  
Spatial Smoothing ◽  
Music Algorithm ◽  
Signal Model ◽  
Simulation Results

This paper presents a beamforming matrix with spatial smoothing effect, and extends it to the space-time 2D signal model, which not only reduces the computational complexity of the space-time 2D MUSIC algorithm and improves the coherence resolution capacity, simulation results show that this algorithm has better performance and effectiveness than MUSIC itself.

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

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Haiwen Li ◽  
Nae Zheng ◽  
Xiyu Song ◽  
Yinghua Tian
Keyword(s):  
Frequency Domain ◽  
Orthogonal Frequency Division Multiplexing ◽  
Hadamard Product ◽  
Estimation Method ◽  
Space Time ◽  
Joint Estimation ◽  
Two Dimensional ◽  
Music Algorithm ◽  
Fast Estimation ◽  
Response Vector

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.

scholarly journals Estimation of Interference Arrival Direction Based on a Novel Space-Time Conversion MUSIC Algorithm for GNSS Receivers

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2570 ◽  
Author(s):  
Hao Wang ◽  
Qing Chang ◽  
Yong Xu ◽  
Xianxu Li
Keyword(s):  
Doa Estimation ◽  
Space Time ◽  
Variable Step Size ◽  
Arrival Direction ◽  
Music Algorithm ◽  
Step Size ◽  
Multiple Signal Classification ◽  
Variable Step ◽  
Gnss Receivers ◽  
Interference Signals

In the estimation of the direction of arrival (DOA) for interference signals, the direction-finding error of the multiple signal classification (MUSIC) algorithm will increase in the case of multiple interferences or when the interfering signal power is weak. In this paper, a space-time conversion MUSIC (STC-MUSIC) algorithm is proposed, and the concept of a focusing parameter is introduced to improve the performance of the DOA estimation. Meanwhile, a method of variable step size peak search is proposed to reduce the amount of calculation of the STC-MUSIC algorithm. The final simulation and experimental results show that the STC-MUSIC algorithm improves the purity of the noise subspace effectively, thus improving the precision and robustness of the DOA estimation for interference signals significantly. In comparison to traditional algorithms, the convergence, stability, root mean square error (RMSE) and other performance characteristics are improved greatly.

scholarly journals Direct Wideband Coherent Localization by Distributed Antenna Arrays

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4582 ◽  
Author(s):  
Nenad Vukmirović ◽  
Miljko Erić ◽  
Miloš Janjić ◽  
Petar M. Djurić
Keyword(s):  
Antenna Arrays ◽  
Position Estimation ◽  
Small Cells ◽  
Music Algorithm ◽  
Signal Model ◽  
Localization Accuracy ◽  
Mean Squared Errors ◽  
3D Space ◽  
Distributed Antenna ◽  
Cramer Rao Bound

We address wideband direct coherent localization of a radio transmitter by a distributed antenna array in a multipath scenario with spatially-coherent line-of-sight (LoS) signal components. Such a signal scenario is realistic in small cells, especially indoors in the mmWave range. The system model considers collocated time and phase synchronized receiving front-ends with antennas distributed in 3D space at known locations connected to the front-ends via calibrated coaxial cables or analog radio frequency over fiber links. The signal model assumes spherical wavefronts. We propose two ML-type algorithms (for known and unknown transmitter waveforms) and a subspace-based SCM-MUSIC algorithm for wideband direct coherent position estimation. We demonstrate the performance of the methods by Monte Carlo simulations. The results show that even in multipath environments, it is possible to achieve localization accuracy that is much better (by two to three orders of magnitude) than the carrier wavelength. They also suggest that the methods that do not exploit knowledge of the waveform have mean-squared errors approaching the Cramér–Rao bound.

Information Estimation of Civil Airplane in Interference Localization Background

2014 ◽  
Vol 513-517 ◽  
pp. 3389-3392
Author(s):  
Li Li
Keyword(s):  
Computer Simulation ◽  
Elevation Angle ◽  
Estimation Algorithm ◽  
Azimuth Angle ◽  
Civil Aviation ◽  
Bistatic Radar ◽  
Music Algorithm ◽  
Signal Model ◽  
Array Geometry

The ground-air communication of civil aviation is interfered by radios, which has seriously endangered the normal flight of civil airplanes. This paper proposes an airplane information estimation algorithm based on the study of the problem of interference localization. Firstly, a novel signal model to accurately estimate parameters of the airplane is proposed. A method of Doppler estimation based on peak searching is proposed, and the 2D-MUSIC algorithm is applied to estimate the azimuth angle and elevation angle. Furthermore, the velocity and location of the airplane are estimated by employing array geometry. As a result, the airplane localization is achieved in bistatic radar, laying the foundations for interference localization. The correctness and effectiveness of the proposed method are verified with the computer simulation.

A Novel Method of Parameter Estimation in Wideband Bistatic MIMO Radar System

2014 ◽  
Vol 556-562 ◽  
pp. 5038-5041
Author(s):  
Li Li
Keyword(s):  
Rotation Angle ◽  
Mimo Radar ◽  
Radar System ◽  
Music Algorithm ◽  
Signal Model ◽  
Bistatic Mimo Radar ◽  
Optimal Rotation ◽  
Novel Method ◽  
Esprit Algorithm ◽  
Optimal Rotation Angle

This paper proposes a new wideband signal model and a novel method in wideband bistatic MIMO radar system. Firstly, a new signal array model is proposed. Secondly, Doppler stretch and time delay are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the fractional correlation function. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on MUSIC algorithm and ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.

Space, Time and Einstein

2002 ◽  
Author(s):  
J. B. Kennedy
Keyword(s):  
Space Time
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