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1.
The Cramer-Rao bound (CRB) for wideband direction of arrival (DOA) estimates of multi-source impinging on a randomly distributed array is derived. The computational expressions for the elements of Fisher information matrix in arbitrary array are provided also. The derived CRB can be divided into two terms, one depends on signals' characteristics and the other depends on array geometry, and so an insight into theoretical performance of DOA estimation can be provided. The first term of CRB shows that the DOA estimation performance not only depends on SNR but also the signal bandwidth and spectral density, thus it can be found that better DOA estimation can be obtained for signals with more high frequency energies. The second term of CRB shows that DOA estimates vary with different array geometries and source angles. These properties provide us some useful tip to design an efficient signal and array configuration. Simulation results confirmed the results mentioned above.  相似文献   

2.
A unified method for target detection and tracing based on data from sensors of array is presented in order to improve detection and tracking abilities of the weak targets with low signal-to-noise ratio. Assuming that the multiple targets are uncorrelated each other and the number of the targets is known a priori, the status of the targets can be estimated with the maximum a-posteriori (MAP) method directly through the sensors data. The proposed method is different from the classical method, by which it can detect and track targets simultaneously by adding the target's signal energy information besides its direction of arrivM(DOA) information. Simulated and sea trial data results show that the detection and tracing capabilities of weak targets can be improved and wrong tracing and missing tracing problems, which exist in the classical tracing method when it is faced with the crossing targets, can be resolved by the proposed method.  相似文献   

3.
An approach to direction-of-arrival (DOA) estimation for multiple narrowband farfield signals is proposed. The technique uses a novel matrix spatial prefiltering approach. Specifically, a matrix filter is designed to spatially filter the incoming data snapshots. The un-wanted components arriving from the stopband angular sectors are attenuated and the desired components from the angular sector of interest pass with minimal distortion. The matrix filter spatially filters the element-space data and the output reserves the element-space data property, which makes it very useful by passing sensor data through a spatial prefilter prior to applying many other array processors to attenuate interferences and improve system performance. Several examples of DOA estimation problem are presented to illustrate the performance of the proposed spatial prefiltering approach. Results of simulation and real data show that the pre-filter can efficiently attenuate the spatial interferences and significantly improve the estimation and resolution capability of DOA estimators at low signal-to-noise ratios for the sources located inside the passband sector. In addition, the use of spatial prefilter makes it possible to estimate DOAs for multiple sources more than the number of the elements of an array.  相似文献   

4.
The high-order cumulant with the characteristics of Gaussian noise suppression and array expansion, can be introducd into the direction of arrival(DOA) estimation of the underwater acoustic signals. A DOA estimation algorithm based on high-order cumulant by off-grid sparse Bayesian learning is proposed. Considering the natural blindness of the highorder cumulant to Gaussian noise, the fourth-order cumulant of the array signal is calculated to filter out the Gaussian noise, with the doubled array...  相似文献   

5.
A robust algorithm of direction of arrival (DOA) estimation for coherent wideband sources in unknown correlated noise fields was investigated. The noise is usually unknown and correlated among sensors in practical applications, especially for arrays with comparatively small apertures. The spatially correlated noise incurs an increase in focusing error and a severe degradation in the DOA estimation, and therefore a method of focusing transformation based on differentiating covariance matrix was proposed to eliminate noise, hence reduce the focusing error. The simulation and experimental results demonstrate the effectiveness of the proposed method.  相似文献   

6.
The Cramr-Rao bound (CRB) for wideband direction of arrival (DOA) estimates of multi-source impinging on a randomly distributed array is derived. The computational expressions for the elements of Fisher information matrix in arbitrary array are provided also. The derived CRB can be divided into two terms, one depends on signals' characteristics and the other depends on array geometry, and so an insight into theoretical performance of DOA estimation can be provided. The first term of CRB shows that the DOA estimation performance not only depends on SNR but also the signal bandwidth and spectral density, thus it can be found that better DOA estimation can be obtained for signals with more high frequency energies. The second term of CRB shows that DOA estimates vary with different array geometries and source angles. These properties provide us some useful tip to design an efficient signal and array configuration. Simulation results confirmed the results mentioned above.  相似文献   

7.
Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform (SF-MUSIC) for sound source localization, a broadband MUSIC algorithm with auditory filter (AF-MUSIC) was proposed. The proposed algorithm first em- ploys auditory filter bank to decompose the signals received on the microphone array, and then locates the sound source with MUSIC algorithm over every frequency channel. At last, by combining with the subinterval frequency estimation, the final localization result is gained. Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm, the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 de- gree in different source conditions. The accuracy of sound source DOA estimation is enhanced effectively.  相似文献   

8.
The performance of the multistage Constant Modulus (CM) array, one of the most striking blind beamforming algorithms, for the source Directions-of-Arrival (DOA) estimation was analyzed via computer simulations and water tank experiments, and was compared to that of other DOA estimation algorithms including the ‘non-blind‘ and the ‘blind‘. Firstly, a nominal array model and an array model with gain and phase perturbations were established,respectively. Secondly, the multistage CM array algorithm was described and computer simulations were conducted. Simulation results showed that the multistage CM array could correctly estimate the DOA at the same time when the sources were blindly recovered, and the angle separating ability of the algorithm was beyond the Rayleigh resolution limit. By changing the variance of the array model errors, it was also verified that the multistage CM array was more robust to the errors than some other algorithms mentioned in this paper. Finally, water tank experiments and data processing results were provided. Situations with different array sizes and source angular separations were considered. It was shown that the results were in good agreement with computer simulations. Results of computer simulations and water tank experiments verified that the DOAs of the multiple independent sources could be blindly and robustly estimated with the multistage CM array.  相似文献   

9.
A weighting orthogonal method for constant beamwidth beamforming matrices is proposed. This method multiplies weighting factors to each orthogonal beamforming matrix corresponding to different frequency bins. The method proposed doesn't cause waveform aberration, and doesn't cause additional loss of array signal-to-noise ratio when the sources have uniform spectrum. The waveform aberration and additional loss of array signal-to-noise ratio can not be avoided simultaneously by ordinary orthogonal method. So we can get good detection and estimation performances at the same time by the weightmg method. Simulation results and water tank experiments are presented to confirm the conclusion above.  相似文献   

10.
A multi-subarray subspace fitting method which take mutual coupling among array elements into account to estimate the directions of arrival was presented. The mutual coupling matrix of uniform linear arrays is modeled with a banded symmetric Toeplitz matrix. According to the DOF (Degree of Freedom) of mutual coupling matrix, part of the array elements at the two sides are neglected. The theoretical characteristics of ESPRIT algorithm, one of the subspace fitting algorithms, are studied. For large N and uniform linear array, the MCLS ESPRIT estimation error is asymptotically jointly Gaussian distributed with zero means, and its covariance expression is obtained. It is known from the simulation that there exists a subarray with lowest estimation error for certain number of the array elements and the signal sources, and its performance of estimating the directions of arrival is close to the ideal situation when mutual coupling does not exist while its variance has some increase. The method has been applied to bathymetric sidescan sonar with high resolution, and good results have been obtained. At the cost of increasing the number of the array elements, the method can reduce the affection of the mutual coupling among array elements.  相似文献   

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