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This paper proposes an improved PWM algorithm: SWEDE-PWM algorithm by combination of SWEDE and PWM algorithm. It can reduce the computation of 2-D searching and eigenvalue decomposition simultaneously. Application to noncircular signals to improve the performance is also considered.
In this paper, target localization for bistatic MIMO radar in unknown spatially correlated noise is investigated. In our model, both the transmitter and receiver arrays are divided into two subarrays. A novel target localization algorithm is proposed by jointly estimating the directions-of-departure (DODs) and directions-of-arrival (DOAs) for transmitter and receiver subarrays in unknown noise. The...
An algorithm for reduced-dimensional angle estimation in bistatic Multiple-Input Multiple-Output (MIMO) radar system is presented. By utilizing the characteristic of Kronecker product, two-dimensional search of Capon/MUSIC can be reduced. The direction-of-arrivals (DOAs) and direction-of-departures (DODs) can be obtained by one-dimensional search and eigenvectors corresponding to the smallest eigenvalues,...
In this paper we figure out a method which can be used by arrays mounted on moving platforms to detect the fully correlated signals. The algorithm proposed is similar to the spatial smoothing technique proposed by T. J. Shan, but it does not depend on any particular form of the arrays, and can be performed without loss of array aperture. Simulation results are offered to confirm the validity of the...
A method of two-dimensional (2-D) direction-of-arrival (DOA) estimation of coherent signals is proposed in this paper. Firstly, the subarrays for spatial smoothing are formed by utilizing the symmetric configuration of the uniform-circular-array (UCA). Then the coherent signals can be resolved without any array transformations based on the algorithm of the spatial smoothing. The numbers of the elements...
In this paper, we present a novel way of estimating the direction of arrival (DOA) of narrow band signals using beam-steering technique. The coefficients for steering the beam are derived using a second order autoregressive (AR) narrow-band filter. Mapping an AR(2) process into spatial domain is not viable and hence, an equivalent FIR filter is obtained, which represents a Uniform Linear Array (ULA)...
For a uniform linear array, classical DOA estimation methods, such as ESPRIT etc., with a space smoothing preprocessing, can be applied to the case of single snapshot. Due to the spatial sparsity, this DOA estimation problem can be translated into a sparse signal recovery problem. Then we can use some sparse recovery methods to resolve DOAs. As a highly efficient method among those, the orthogonal...
In this paper, a new joint the direction of departures (DODs) and the direction of arrivals (DOAs) estimation method in the presence of unknown mutual coupling for bistatic multiple-input multiple-output radar (MIMO) radar is presented. By setting the auxiliary elements on the both sides of the transmit and arrays, the effect of mutual coupling can be eliminated and the standard MUSIC can be utilized...
In this paper, a new Direction of Arrival (DOA) estimation method is proposed with uniform linear array when both uncorrelated and coherent sources are present. After denoising the received data by wavelet transform, first the DOAs of uncorrelated signals are estimated using Independent Component Analysis (ICA). Afterwards, the information of uncorrelated signals is eliminated and a new matrix is...
To increase the capacity of mobile communications, it is important to accurately estimate the power and the direction of arrival (DOA) of source. An efficient algorithm is proposed for this purpose. A cost function is optimized by using the particle swarm optimization (PSO). To accelerate the convergence of the fitness function of PSO, the inertia weights of particles are different from each other...
Sparse linear arrays are subject to manifold ambiguity in genera. A method to solve the manifold ambiguity of uncorrelated sources for sparse array is proposed in this paper. The method is consisted of two steps. The first step is to obtain all the directions of arrivals (DOAs) by traditional MUltiple SIgnal Classification (MUSIC) algorithm, including true and spurious DOAs. The second step is to...
In this paper, a methodology of employing a set of uniform circular arrays to localize the 3D position of a target in sensor networks is presented and the theoretical framework is given. Simulation results demonstrate the validity of the method and illustrate the effect of the element pattern on the accuracy of direction of arrival (DoA) estimation and positioning. A weighted least squares method...
As the prevalence of broadband coherent sources, a novel algorithm for the direction of arrival (DOA) estimation of coherent signals based on DPT and virtual array is introduced. And one of the algorithms is to be done a comparison, analysis and improvement. It can settle the problem of not finding coherent signals in routine algorithm. This approach can estimate accurately and do not decrease effective...
In this paper, estimation of direction-of-arrival (DOA) of source signals employing radial basis function neural networks (RBF-NNs) is presented. The signal model used in the algorithm is based on the circular antenna array geometry. RBF-NNs are trained and tested to estimate DOAs of different number of signals in azimuth plane. The performance of the RBF-NNs is evaluated in noisy environment for...
MUSIC based, joint estimation of synchronization parameters (Direction of Arrival — DoA, Time Offset — TO and Carrier Frequency Offset — CFO) on uplink of Mobile WiMAX system based on IEEE 802.16e standard is considered.
we proposed a fast method for direction of arrival (DOA) estimation of coherent signal with arbitrary array geometry from a perspective of sparse signal reconstruction. The feasibility of sparse signal reconstruction is mainly affected by the inter-atom interference of redundant dictionary. In the paper, our method for the DOA estimation of coherent signal is based on orthogonal matching pursuit (OMP)...
The conventional direction finding method is to digitize the output of each sensor at the Nyquist sampling rate for the system bandwidth and use digital signal processing algorithms such as multiple signals classification (MUSIC) or maximum likelihood estimation (MLE) etc. In this paper, we exploit recent developments in compressed sensing (CS) to efficiently perform the direction finding. If the...
A propagator method (PM) using fourth-order cumulant is proposed to estimate direction-of-arrival (DOA), which firstly computes properly chosen fourth-order cumulants of sensor outputs to construct virtual array with one times larger expanded aperture, then applies the propagator method without eigen-decomposition to estimate DOA. The proposed algorithm doesn't require the number of signals is smaller...
A new multidimensional parameters (DODs: direction of departures??CDOAs: direction of arrivals, and Doppler frequencies) estimation method for bistatic MIMO radar via ESPRIT exploiting virtual arrays is presented. The proposed method uses the eigenvalues of constructed matrix to estimate DODs and Doppler frequencies and the eigenvectors to estimate DOAs. At the same time, the parameters are paired...
This work deals with the direction of arrival (DOA) estimation of multiple radar targets present in the mainlobe of a rotating antenna using sparse signal reconstruction methods. We exploit knowledge of the antenna main beam pattern and the fact that the antenna mechanical scanning impresses an amplitude modulation on the signals backscattered by the targets. Having studied Basis Pursuit (BP) and...
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