Papers by Keyword: Array Signal Processing

Paper TitlePage

Authors: Xiao Yu Lan, Qing Yang Guan, Yan Zou
Abstract: It is known that computational complexity of the propagator method (PM) can be significantly smaller than those of MUSIC and ESPRIT because the PM does not require any eigenvalue decomposition (EVD) of the received data. However, most the algorithm based on PM requires more antenna elements than targets. In order to solve these issues, a novel low energy algorithm utilizing array base-line rotation for multiple targets estimation is proposed. By rotating two elements and setting a fixed time delay, even number of elements is selected to form a virtual UCA. Then, the received data of signals will be sampled at multiple positions, which improves the array elements utilization greatly. Simulations results verified the effectiveness of the proposed algorithm with high resolution and estimation accuracy performance.
352
Authors: Fu Gang Liu, Ming Diao
Abstract: For direction of arrival (DOA) estimation of wideband signals, the traditional algorithms’ estimating accuracy and complexity were mainly affected by pre-estimation of DOA. By forming an angle set which elements were arithmetic progressions in the range of possible arriving angles, the algorithm used the new angle vector to replace the preliminary estimation of arriving angles. It can avoid the impact of pre-estimation bias on performance of DOA estimation and greatly reduce the amount of computation and the consumed time for DOA estimation to favor the real-time application of wideband DOA estimation. The simulation results showed that the proposed algorithm was able to provide significant performance improvement over the conventional algorithm.
2861
Authors: Ying Xu, Jun Zhao
Abstract: The 2D spectrum estimation based on uniform linear array is studied in this paper. MUSIC method is firstly introduced into array signal processing to realize the frequency and angle joint estimation. And the modified MUSIC method is then applied for two dim array signal processing to fulfill joint parameters estimation of coherent signal sources. Simulation results show the validity of the proposed method. Keywords: Super resolution;Array signal processing;Parameter estimation;MUSIC algorithm
2007
Authors: You Gen Xu, Zhi Wen Liu
Abstract: Many manmade signals have nonzero noncircularity coefficients such as those used in AM, BPSK, and ASK systems. They are called noncircular signals which have coexisted moment and conjugate moment at the second-order. This redundancy is herein exploited to derive a blind scheme for source separation and classification based on the NonCircularity REstoral (NCRE4) filtering. The present blind scheme has three major advantages: 1) involves only the second-order statistics (SOS) and has a faster convergence speed than the traditional high-order statistics (HOS) methods; and 2) does not require any a prioriknowledge about the content and/or direction of the signal-of-interest (SOI).
318
Authors: Xiao Fei Zhang, Jian Feng Li, Ming Zhou, De Ben
Abstract: In this paper, we address the transmit angle and receive angle estimation problem for a bistatic multiple-input multiple-output (MIMO) radar. This paper links MIMO radar angle estimation problem to the compressed sensing trilinear model. Exploiting this link, it derives a compressed sensing trilinear model-based angle estimation algorithm, which can obtain automatically paired two-dimensional angle estimation. The proposed algorithm requires no spectral peak searching or pair matching, and it has better angle estimation performance than conventional algorithms including estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm. Simulation results illustrate performance of the algorithm.
1033
Authors: Hong Qi Yu, Xin Xu, Zhao Lin Sun, Hai Jun Liu, Jie Tao Diao
Abstract: A new method of implementing frequency invariant beamformers based on cubic spline function is presented. Based on the frequency, the sensor distance of the virtual array is generated. The virtual array output is formed from the sensor array by cubic spline function interpolation. The beamformers of every frequency bins in the bandwidth of the signal is similar to that of the referenced frequency. The method is simple and easy to implement. Simulation results demonstrate the effectiveness of the method.
332
Authors: Wei Yang, Yao Wu Shi
Abstract: This paper presents a new direction-of-arrival (DOA) estimation for wideband sources, using fractional Fourier transform with fitting angle (F3A). Unlike other coherent wideband methods, the new method does not require any preprocessing for initial values and decomposing into narrowband components. This new technique estimates DOA by rotating the time frequency plate with the fitting angle to fit the time frequency distribution approximately. The algorithm can be applied to arbitrary shaped one dimensional or two dimensional arrays. The signal frequency can be higher than the frequencies in many wideband algorithms. The performance of this wideband technique is compared with that of the new method through simulations. The simulations show that this new technique performs better than others, while this algorithm does not apparently vary with signal-to-noise ratio (SNR).
2716
Authors: Peng Hao, Fan Zhong Kong, Si Fa Zheng, Xiao Min Lian
Abstract: Using microphone array and beam-forming is an important technology to identify moving noises sources. Capon minimum variation distortion-less response is used proposed to identify the complex noise sources, where many closely distributed noise sources are located nearby. The algorithm is introduced with detail. The identify results is simulated and analyzed with real running vehicle. Comparing the results between common beam forming and Capon method, it shows the Capon minimum variation distortion-less response method has higher resolution and could identify the complex noise distribution of moving vehicles.
593
Authors: Xing Hui Chen, Shi Qiao Gao
Abstract: The problem of spatial temporal spectrum technique for coherent signal identification is studied in this paper. Spatial smoothing scheme is firstly introduced to spatial temporal signal processing to eliminate the singularity of array output covariance matrix, and then spatial temporal spectral analysis technique is used to realize the joint DOA and frequency estimation. Simulation results show the proposed method can indentify all the signal sources correctly even when they are full coherent.
4875
Authors: Tao Chen, Hong Hou, Zhi Fei Chen, Cheng Kun Jiang
Abstract: Flyover noise measurements were conducted on an aircraft ARJ21 aiming at landing gear noise prediction schemes. The analysis is based on acoustic dedopplerized spectra and localization maps was calculated with the pressure signals of a acoustic phased array with 30 microphones. The acoustic phased array is a spatially distributed set of microphones which simultaneously sample the acoustic field. The doppler shifts was removed using linear interpolation.By appropriately time delaying the output of individual microphones, the origin and level of noise source(the landing gear) can potentially be determined. The success of this approach depends largely on the phased array design, and the array data processing method. This paper focuses on the two areas.
747
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