A Unitary-UCA-Root-MUSIC Algorithm Based on MSWF

2014 ◽  
Vol 610 ◽  
pp. 339-344
Author(s):  
Qiang Guo ◽  
Yun Fei An
Keyword(s):  
Computer Simulation ◽  
Computational Complexity ◽  
Real Time ◽  
Unitary Transformation ◽  
Wiener Filter ◽  
Doa Estimation ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Multi Stage ◽  
Simulation Results

A UCA-Root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper which is based on UCA-RB-MUSIC [1]. The method utilizes not only a unitary transformation matrix different from UCA-RB-MUSIC but also the multi-stage Wiener filter (MSWF) to estimate the signal subspace and the number of sources, so that the new method has lower computational complexity and is more conducive to the real-time implementation. The computer simulation results demonstrate the improvement with the proposed method.

The Research of DOA Estimation Algorithms in the Conformal Array Antenna

2015 ◽  
Vol 743 ◽  
pp. 471-473
Author(s):  
C.Z. Sun
Keyword(s):  
Doa Estimation ◽  
Array Antenna ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Estimation Algorithms ◽  
Conformal Array ◽  
Array Antennas ◽  
Peak Search ◽  
Simulation Results ◽  
Rayleigh Limit

To the conformal array antennas, the conventional DOA estimation algorithms will be affected by the Rayleigh limit. While, the MUSIC algorithm can solve this problem, it fully utilizes the orthogonality of noise subspace and signal subspace. It can achieve the DOA estimation through the spectrum peak search. The MUSIC algorithm is analyzed. Based on the cylindrical and conical array antenna, the algorithms are simulated. The simulation results show that the array arrangement mode can exert an important influence on the DOA estimation.

scholarly journals Harmonic Frequency Estimation Algorithm Based on MSWF in Power System

2015 ◽  
Vol 9 (1) ◽  
pp. 524-529
Author(s):  
Cao Zhe ◽  
Sun Xiangwen ◽  
Niu Xinwen
Keyword(s):  
Computational Complexity ◽  
Power System ◽  
Frequency Estimation ◽  
Recursive Algorithm ◽  
Wiener Filter ◽  
Estimation Algorithm ◽  
Music Algorithm ◽  
Harmonic Frequency ◽  
Multi Stage ◽  
Data Volume

This paper pointed out the disadvantage of harmonic frequency estimation algorithm in current power system, presented the MUSIC (multiple signal classification)-based harmonic frequency estimation algorithm in power system, and analyzed the computational complexity of the MUSIC algorithm. In order to reduce the computational complexity of conventional MUSIC algorithm and to increase the real-time characteristic of harmonic frequency estimation algorithm, we combined the multi-stage wiener filter (MSWF) recursive algorithm and MUSIC algorithm so as to avoid the subspace decomposition process of the conventional MUSIC algorithm, thus realizing the purpose of significantly reducing the computational complexity of the MUSIC algorithm. Through theoretical analysis and simulation experiments, we find that the algorithm proposed in this paper is of excellent resolution characteristic, and less dependent on data volume.

scholarly journals Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yaoping Zeng ◽  
Yixin Yang ◽  
Guangyue Lu ◽  
Qiongdan Huang
Keyword(s):  
Wiener Filter ◽  
Doa Estimation ◽  
Fast Method ◽  
Music Algorithm ◽  
Multistage Wiener Filter ◽  
Unitary Transform ◽  
Practical Engineering ◽  
Noncircular Signals ◽  
Simulation Results ◽  
Array Aperture

Most of the existing algorithms to estimate the direction of arrival (DOA) of signals deal with the situation that all signals are circular. However, it is quite often in practical engineering that circular and noncircular signals appear in the same time. To effectively detect DOA of signals in such circumstances, we propose a novel algorithm. Firstly, using received data and its conjugate, we can detect more signals because of the doubled array aperture. Secondly, through unitary transform and multistage Wiener filter (MSWF) technology, we can obtain the noise subspace of array without performing eigendecomposition. Finally, by employing the improved MUSIC algorithm,we can acquire the DOA of the mixed circular and noncircular signals through two-stage search. Simulation results clearly demonstrate the effectiveness of the proposed algorithm.

scholarly journals Separate DOD and DOA Estimation for Bistatic MIMO Radar

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Lin Li ◽  
Fangfang Chen ◽  
Jisheng Dai
Keyword(s):  
Computational Complexity ◽  
Signal To Noise Ratio ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Music Algorithm ◽  
Signal To Noise ◽  
Bistatic Mimo Radar ◽  
Direction Of Departure ◽  
Type Algorithm ◽  
Simulation Results

A novel MUSIC-type algorithm is derived in this paper for the direction of departure (DOD) and direction of arrival (DOA) estimation in a bistatic MIMO radar. Through rearranging the received signal matrix, we illustrate that the DOD and the DOA can be separately estimated. Compared with conventional MUSIC-type algorithms, the proposed separate MUSIC algorithm can avoid the interference between DOD and DOA estimations effectively. Therefore, it is expected to give a better angle estimation performance and have a much lower computational complexity. Meanwhile, we demonstrate that our method is also effective for coherent targets in MIMO radar. Simulation results verify the efficiency of the proposed method, particularly when the signal-to-noise ratio (SNR) is low and/or the number of snapshots is small.

A Modified MUSIC Algorithm for DOA Estimation

2013 ◽  
Vol 658 ◽  
pp. 652-657
Author(s):  
Shu Jing Su ◽  
Wen Qiang Zheng
Keyword(s):  
Computational Complexity ◽  
Covariance Matrix ◽  
Doa Estimation ◽  
Signal Subspace ◽  
Music Algorithm ◽  
Array Data ◽  
Noise Subspace

In this paper, a method of being modified 2-D DOA estimation is presented. By reconstructing covariance matrix of the received array data, the correlativity of the incident signals is recreased, and mis-division between signal subspace and noise subspace is controlled, therefore the number of estimated signals would be equal to the number of actual incident signals. This method has good performance not only for DOA estimation of the correlation signals, but for DOA estimation of the non-correlation signals. In addition the computational complexity will not increase obviously. The simulation tests verify the validity of the presented algorithm.

USTC-MUSIC Algorithm for DOA Estimation of Coherent Sources Using Single Vector Hydrophone

2014 ◽  
Vol 530-531 ◽  
pp. 530-533
Author(s):  
Jin Fang Cheng ◽  
Chao Ran Zhang ◽  
Wei Zhang
Keyword(s):  
Correlation Matrix ◽  
Temporal Correlation ◽  
Doa Estimation ◽  
Spatial Smoothing ◽  
Music Algorithm ◽  
Correlation Matrices ◽  
Vector Hydrophone ◽  
Coherent Sources ◽  
Simulation Results ◽  
Spatio Temporal

The MUSIC algorithm cannot deal with the problem of DOA estimation of coherent sources, this paper proposes the USTC (unitary spatio-temporal correlation matrices)-MUSIC algorithm using single vector hydrophone to solve this problem, by utilizing the unitary spatio-temporal correlation matrix instead of the covariance matrix. The simulation results demonstrate that the USTC-MUSIC algorithm has a better ability to distinguish the coherent sources from different directions than the spatial smoothing MUSIC algorithm.

Array DOA Estimation by the Model of Four Elements in Quare Array Based on the Theory of Compressed Sensing

2014 ◽  
Vol 635-637 ◽  
pp. 971-977 ◽  
Author(s):  
Rui Yuan ◽  
Jun Yue ◽  
Hong Xiu Gao
Keyword(s):  
Computer Simulation ◽  
Computational Complexity ◽  
Compressed Sensing ◽  
Matching Pursuit ◽  
Doa Estimation ◽  
Low Computational Complexity ◽  
Matching Pursuit Algorithm ◽  
Square Array

The DOA estimation by the model of four elements in the square array has studied based on the theory of compressed sensing. Using matching pursuit algorithm and orthogonality matching pursuit algorithm, the computer simulation was presented. The results show the method of DOA estimation by compressed sensing theory is simple, practical and low computational complexity.

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.

Wideband DOA estimation based on incoherent signal subspace method

2018 ◽  
Vol 37 (3) ◽  
pp. 1271-1289 ◽  
Author(s):  
Zeeshan Ahmad ◽  
Yaoliang Song ◽  
Qiang Du
Keyword(s):  
Computational Complexity ◽  
Communication Systems ◽  
Recent Decade ◽  
Doa Estimation ◽  
Signal Spectrum ◽  
Signal Subspace ◽  
Subspace Method ◽  
Content Type ◽  
Wideband Signals ◽  
Analysis Computer

Purpose Direction-of-arrival (DOA) estimation for wideband sources has attracted a growing interest in the recent decade because wideband sources are incorporated in many real-world applications such as communication systems, radar, sonar and acoustics. One way to estimate the DOAs of wideband signals is to decompose it into narrowband signals using discrete Fourier transform (DFT) and then apply well-established narrowband algorithms to each signal. Afterwards, results are averaged to yield the final DOAs. These techniques require scanning the full band of wideband sources, ultimately degrading the resolution and increasing complexity. This paper aims to propose a new DOA estimation methodology to solve these problems. Design/methodology/approach The new DOA estimation methodology is based on incoherent signal subspace method (ISSM). The proposed approach presents a criterion to select a single sub-band of the selected narrowband signals instead of scanning the whole signal spectrum. Then, the DOAs of wideband signals are estimated using the selected sub-band. Therefore, it is named as single sub-band (SSB)-ISSM. Findings The computational complexity of the proposed method is much lower than that of traditional DFT-based methods. The effectiveness and advantages of the proposed methodology are theoretically investigated, and computational complexity is also addressed. Originality/value To verify the theoretical analysis, computer simulations are implemented, and comparisons with other algorithms are made. The simulation results show that the proposed method achieves better performance and accurately estimates the DOAs of wideband sources.

Irregular Sampling of GPS Signal for Real-Time Implementation of Pipelined PFFT

2014 ◽  
Vol 519-520 ◽  
pp. 969-974 ◽  
Author(s):  
Jian Hua Huang ◽  
Gao Yong Luo
Keyword(s):  
Fourier Transform ◽  
Computational Complexity ◽  
Real Time ◽  
High Speed ◽  
Sampling Method ◽  
Prime Factor ◽  
Irregular Sampling ◽  
Utilization Rate ◽  
Sampled Data ◽  
Simulation Results

We present a nonuniform method sampling to form the 1 105 points of GPS signal for real-time implementation of prime factor Fourier transform (PFFT) processor, which uses less resource with more utilization rate, and is more efficient and computationally faster than fast Fourier transform (FFT). The high-speed capturing method by irregular sampling for GPS quick positioning is developed to obtain the specified number of sampled data to suit the requirement of fast pipelined PFFT implementation. Simulation results show that the irregular sampling method is efficient in terms of computational complexity and achieves minimum operations of sampling for 1 105 samples based PFFT processing.

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