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In the underwater passive target detection system, direction of arrival (DOA) estimation of traditional uniform linear array (ULA) becomes poor when targets come from the direction of end-fire. To solve this problem, this paper develops a new DOA estimation method for the wideband signal based on A-shaped array, which is implemented via two ULAs distributed with a specific angle. Firstly, the A-shaped...
In this paper, a novel method for direction arrival (DOA) estimation in monostatic multiple-input multiple output (MIMO) array is presented. By using the sparse signal reconstruction of monostatic MIMO array measurements with an overcomplete basis, the singular value decomposition (SVD) of the received data matrix can be penalties based on the l1-norm. The optimization problem can be solved exploiting...
Multiple signal classification (MUSIC) algorithm has been used for joint Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in Multiple Input Multiple Output (MIMO) array. It has shown excellent angle estimation performance. However, the two dimensional angle peaks searching of MIMO MUSIC algorithm renders high computational complexity. In order to resolve this problem, a fast...
DOA estimation is an important research area in array signal processing. Bayesian maximum a posterior DOA estimator (BM DOA estimator) has been shown to possess excellent performance. However, the BM estimator requires a multi-dimensional search and the computation burden increases exponentially with the dimension. So it is difficult to be used in real time applications. In order to reduce the computation...
A novel maximum likelihood direction of arrival estimator based on modified ant colony optimization is proposed to lighten the exponentially increasing computation burden introduced by multidimensional grid search. By integrating chaos initialization and local search, modified ant colony optimization can overcome the drawbacks of ant colony optimization, such as low convergence speed and being easily...
By exploiting the beam-spectra envelop information of the spatial spectrum which is generated by the conventional beamforming (CBF) method, a high resolution direction-of-arrival (DOA) estimation method named DOA-BE is proposed. This method is decomposed into two different parts. A threshold of 3-dB width of CBF spectrum is obtained by using Neyman-Pearson criterion to determine the number of narrow-band...
In this paper, a Multiple Input Multiple Output (MIMO) monostatic sonar scheme that can deal with multiple targets is presented, where orthogonal waveforms are transmitted simultaneously. Meanwhile the Capon estimator for this sonar system is derived in detail. And the performance of the MIMO sonar is analyzed via experiments in an anechoic water tank, as compared with its phased-array counterpart...
Recently, the sparse overcomplete signal representations have been introduced to solve the direction-of-arrival (DOA) estimation problem by sensor array. However, it still has high computational complexity, and as the dictionary, i.e. a collection of possible direction response vectors, is required to be ldquoovercompleterdquo, it has to cover all the possible DOAs both of the interesting signals...
In shallow water the plane-wave assumption on arriving signals generally leads to biased estimates of direction of arrival (DOA) of signals due to the multi-mode propagation of sound wave, and the DOA estimation is much sensitive to the channel model mismatch and different working environments. To solve these problems, a less structured array data model based on normal mode sound field is brought...
In shallow water, the plane-wave direction-of-arrival (DOA) estimators generally yield biased estimates, due to the multimode nature of acoustic propagation. To solve this problem, a normal mode array model is described. And a Normal-Mode based MUSIC method, referred as NM-MUSIC, is proposed for DOA estimation, which is adapted from the classical MUSIC method. The present NM-MUSIC method obtains unbiased...
In the array signal process field, to estimate the direction of arrival (DOA) of sources, it is a key problem to estimate the number of signal source correctly. Luo Jingqing proposed a set of eigenvalue gradient methods (EGMs), which showed better performances of number-detection than traditional AIC and MDL method. However, EGMs doesn't take the false-alarm probability (PFA) into account, which causes...
DOA estimation is an important research area in array signal processing. Maximum likelihood estimator (MLE) has been shown to perform best among all the methods. However, the MLE requires a multidimensional grid search and the computational burden increases exponentially with the dimension. So it is difficult to be used in realtime applications. In order to reduce the computation, Monte Carlo methods...
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