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The paper addresses the multi-target tracking problem in the framework of asynchronous sensor system. A real-time fusion algorithm is presented for asynchronous sensor system where sensors are allowed to work asynchronously with aperiodic sampling. A real-time sequentially fusion method based on Generalized Covariance Intersection (G-CI), called RTS-GCI, is presented. The proposed RTS-GCI fusion algorithm...
The paper addresses a fast implementation algorithm about distributed fusion with CPHD filter. An implementation method of distributed fusion based on maximum probability association (MPA), called MPA-DF, is presented. Though the performance of MPA-DF is a little worse than traditional Generalization Covariance Intersection (GCI) distributed fusion method, called GCI-DF, the former needs lower computational...
In this paper, under the situation of multiple interference regions, an optimal antenna placement problem for a distributed Multi-Input Multi-Output (MIMO) radar is studied. Considering multiple interference regions, we solve the antenna placement problem by utilizing antenna placement method based on Multi-Objective Particle Swarm Optimization (MOPSO). However, it is not clear when to stop the iteration...
In this paper, a joint revisit and dwell time management (JRDTM) strategy for single target tracking based on the predicted Bayesian Cramer-Rao lower bound (BCRLB) in phased array radar system is addressed. We achieve the time resources management by formulating and solving an optimization problem, which is to minimize the resource amount used for tracking with the tracking accuracy of the target...
In this paper, we will investigate a joint beam and dwell time allocation strategy for multiple targets tracking based on the phased array radar system. We achieve the resources allocation by formulating and solving an optimization problem, which is to minimize the total dwell time on all targets with the tracking accuracy of each target satisfying a pre-designed requirement. Since the Bayesian Cramer-Rao...
In this paper, we propose an adaptive node selection strategy for target tracking in passive multiple radar systems, with the objective of minimizing the number of nodes in the tracking task. Since the signal parameters are random in passive systems, we first take the expectation over the random parameters, and derive a new Bayesian Cramer-Rao lower bound (BCRLB) as the criterion. Then, we formulate...
This paper considers the multi-target tracking (MTT) problem in multi-input multi-output (MIMO) radar systems with the “defocused transmit-focused receive” (DTFR) operating mode, in which each transmitter forms a defocused beam to illuminate the whole surveillance region and each receiver adopts a focused beam to acquire a high angular resolution. When MIMO radars work in the DTFR operating mode,...
This paper considers the detection problem and its realistic implementation for multiple-input multiple-output (MIMO) radar with widely separated antennas. In particular, since the range cells of different transmit-receive channels are not in superposition, but intersecting with each other, it is difficult to determine, by gathering measurements from all transmit-receive channels, whether a target...
In this paper, we consider the fluctuating targets detection problem in a distributed multi-sensor network. A multi-sensor multi-frame track-before-detect (MS-MF-TBD) procedure is proposed to sufficiently make use of the target energy diversity in space and time dimensions (space-time diversity). Two MS-MF-TBD methods, the multi-sensor maximum likelihood-probabilistic data association (MS-ML-PDA)...
In this paper, we address the target detection problem using multi-sensor dynamic programming based track before detect (DP-TBD) methods. First, we give two implementation methods of multi-sensor DP-TBD under the centralized processing and the distributed processing, respectively. Then, in order to improve the implementation efficiency of the multi-sensor DP-TBD, we further propose an improved DP-TBD...
This paper considers the location and tracking problem for the indoor and outdoor targets with the single input multiple output (SIMO) radar. An effective algorithm based on phase comparison is presented to derive the target azimuth by exploiting the phase differences between the return signals among the multiple channels. In addition, the target range is derived via employing the fast Fourier transform...
This paper focuses on addressing the data fusion problems in asynchronous sensor networks using distribute particle filter (DPF). Generally, the type of the local information communicated between sensors and the time synchronization of the local information are two major issues for DPF algorithms, which have significant influence on fusion accuracy and communication requirements. To address these...
In this paper, we consider an adaptive node and power simultaneous scheduling (ANPSS) strategy for target tracking in distributed multiple radar systems. For all of the available nodes, with full resources allocation, minimizing estimation mean-square error (MSE) may exceed the predetermined system tracking performance goal and cause unnecessary resources consumption. Therefore, tracking performance...
This paper addresses the coherent integration problem for detecting a maneuvering target with complex motions, involving range migration (i.e., range walk and range curvature) and Doppler frequency migration (DFM) within the coherent processing interval. A new method based on adjacent cross correlation function (ACCF) and fractional Fourier transform (FRFT) is proposed, where the ACCF operation is...
The paper addresses the multi-target tracking problem in the framework of asynchronous radars system. Based on probability hypothesis density (PHD) filter, we propose two fusion methods. The first one transfers information between different radar nodes, named as Sequence Process PHD (SP-PHD) fusion, it combines the prediction and update steps of a PHD filter, time alignment and recursive state estimation...
This paper addresses multiple targets tracking problem using multiple different resolution sensors via Dynamic Programming (DP) based Track-Before-Detect (TBD). Generally, DP-TBD is a grid-based method that estimates target trajectories by means of searching all the physically admissible paths in a determinate discrete state space. In actual war, by using the Radar Cross Section (RCS) spatial diversity,...
This paper considers the unimodular quadratic optimization problem for synthesizing radar codes forcing a similarity constraint to allow the designed code sharing the similarity feature with a given reference code. A computationally efficient Iterative Sequence Optimization (ISO) algorithm is proposed which sequentially improves the objective function. At each iteration, the multidimensional optimization...
Nowadays, there have been a lot of applications such as industrial diagnostics, environmental monitoring, and battlefield surveillance in sensor networks. One of the most important performance metrics for sensor networks is coverage, because it reflects how well a surveillance region is monitored. In this paper, we demonstrate a maximum coverage deployment problem in multistatic radar system (MSRS)...
This paper deals with the passive location problem for coherent near-field sources with the non-uniform sparse linear array (non-USLA). Specifically, we divide the non-USLA into three subarrays and exploit the fact that the coherent sources are located in near field for the whole array, whereas they are regarded as far-field targets with respect to the subarray 1/2 among the non-USLA. We first roughly...
In this paper, we consider the target localization problem in the presence of a wall using the through-the-wall radar, which equips one transmitter and multiple receivers. We propose a novel noncoherent localization approach, exploiting the advantages of both the ellipse-cross-localization and the hyperbolic-cross-localization. Performance of the proposed approach is evaluated via numerical simulations,...
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