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Current particle filter assumes that the dimension of state is known and constant and it fails when this suppose does not holds. This paper improves on the particle filter using RJMCMC. The improved particle filter can not only preserve the performance on the Non-Linear and Non-Gaussian condition, but also can be used when the dimension of state is unknown or changing over time. This paper uses the...
In this paper, a new Bayesian array signal model structure based on signal reconstruction is proposed, that allows us to define a posterior distribution on the parameter space, which is applicable to both wideband and narrowband signals. Unfortunately, a direct evaluation of this distribution and of its features, including posterior model probabilities, requires evaluation of some complicated high-dimensional...
In this paper a novel method for subspace decomposition and its dimension estimation based on principle components analysis (PCA) neural network is proposed. This method use an improved Sanger PCA network model which can directly process the array data to obtain its signal subspace and does not involve any estimation of the covariance matrix or its Eigen decomposition. Meanwhile, this method can estimate...
In this paper, a new array signal model structure based on signal reconstruction is proposed, that allows us to define a posterior distribution on the parameter space, which is applicable to both wideband and narrowband signal. The proposed method lends itself well to a Bayesian approach for jointly estimating the model order and the DOAs. We develop a hybrid MCMC algorithm based on reversible jump...
A fast cyclic-SSF (signal subspace fitting) algorithm for direction-of-arrival (DOA) estimation in array processing referred to as Cyclic Propagator Method (CPM) is proposed in this paper. Compared with the conventional eigen subspace algorithms, the presented method has lower computational complexity with insignificant performance degradation because of avoiding the SVD (singular value decomposition)...
Quadric difference frequency (QDF) has high range resolution, but it needs a pair of antennae to transmit two channels of frequencies, which complexes the hardware design and subsequent data processing. Based on the principle of phase comparison, a modified ranging algorithm-once difference frequency (ODF) is proposed. Under the same condition, the performance of ODF is slightly poorer than that of...
At present, among the known methods of extracting interferometric phase, some methods developed from spatial spectrum estimation and extracting interferometric phase by MUSIC or TLS-ESPRIT algorithm are being perfected. However these methods can bring on confusion of different scatter centers among interferometric phase due to the lack of measures of mechanism's separation. By calculating the power...
Based on the theory of eigen-decomposition of fully polarimetric synthetic aperture radar (SAR) and scatter criterion clustering method, an unsupervised iteration classification method is proposed. It is simple, flexible and with high precision. Several schemes of the iteration classification method are given in this paper. The characteristic of each scheme is carefully analyzed according to the properties...
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