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This paper presents a novel receiver selection method for multi-target tracking in multi-static Doppler radar systems. The assumption is that in the surveillance volume of interest, a single transmitter with a known frequency is active and several spatially distributed radar receivers collect and report Doppler-only measurements. The Doppler measur...
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Passive Bistatic radar is an effective and low-cost approach to surveillance in an area of interest. In many bistatic radar configurations, the impact of the Direct Signal Interference (DSI) is minimized by the physical locations of the transmitter and the receiver on the bistatic plane. In the satellite-based bistatic radar, the bistatic baseline...
Citations
... Multi-target tracking (MTT) is one of the most significant and low-level techniques in many fields [1][2][3][4][5][6][7], such as military, transportation, industry, agriculture, sports, and health monitoring. For conventional tracking algorithms [8][9][10], MTT is usually regarded as tracking of multiple single targets. ...
Intelligent sensor management is generally required for efficient and accurate data processing when the multi-sensor system is used for multi-target tracking (MTT). However, this is theoretically and computationally challenging. To deal with this problem, we propose a novel sensor management approach based on efficient multi-objective optimization for MTT under the framework of partially observed Markov decision process. The multi-Bernoulli filter is used in conjunction with two objective functions. To simplify the multi-objective optimization problem, we use the Euclidean distance (ED) between the feasible and utopian solution vectors as a measure of the objectives and then sequentially select sensors from the candidates. For the selected sensors, we rank them according to the obtained ED measure and implement the iterated-corrector fusion scheme after the ranking. Numerical studies demonstrate the effectiveness and efficiency of our approach in multi-sensor MTT scenarios.
... Ifṗ x ≥ 0, Iṗ x = 1 and ifṗ x < 0, Iṗ x = −1. The first and second pair of solutions for p x and p y use the positive and negative signs, respectively, in (43). The proof of (43) is given in the Appendix A. ...
The paper addresses the problem of tracking multiple targets with Doppler-only measurements in multi-sensor systems. It is well known that the observability of the target state measured using Doppler-only measurements is very poor, which makes it difficult to initialize the tracking target and produce the target trajectory in any tracking algorithm. Within the framework of random finite sets, we propose a novel constrained admissible region (CAR) based birth model that instantiates the birth distribution using Doppler-only measurements. By combining physics-based constraints in the unobservable subspace of the state space, the CAR based birth model can effectively reduce the ambiguity of the initial state. The CAR based birth model combines physics-based constraints in the unobservable subspace of the state space to reduce the ambiguity of the initial state. We implement the CAR based birth model with the generalized labeled multi-Bernoulli tracking filter to demonstrate the effectiveness of our proposed algorithm in Doppler-only tracking. The performance of the proposed approach is tested in two simulation scenarios in terms of the optimal sub-pattern assignment (OSPA) error, OSPA(2) error, and computing efficiency. The simulation results demonstrate the superiority of the proposed approach. Compared to the approach taken by the state-of- the-art methods, the proposed approach can at most reduce the OSPA error by 58.77%, reduce the OSPA(2) error by 43.51%, and increase the computing efficiency by 9.56 times in the first scenario. In the second scenario, the OSPA error is reduced by 62.80%, the OSPA(2) error is reduced by 43.65%, and the computing efficiency is increased by 2.61 times at most.
... В работах [4,8] ИНФОРМАЦИОННЫЕ КАНАЛЫ И СРЕДЫ было показано, что селекция целей на фоне ложных отметок осуществляется в основном по траекторным признакам. Известен метод первичного захвата физическими или математическими стробами с последующим сопровождением целей [9][10][11][12]. Кроме того, в РЛС обзора пространства реализуется метод идентификации измерений с существующими траекториями при сопровождении типовых целей [13][14][15]. ...
... Рассмотрим только координатные признаки. Пусть в РЛС k j , k j K, объект наблюдения a i , a i A, описывается вектором из M признаков X ij {x 1i , x 2i , …, x Mi } с компонентами x mi , которые представляют измеренное значение некоторой непрерывной величины, например координаты дальности до цели m1, 2, …, M [9][10][11]. ...
... Очевидно, что погрешности измерений, независимые в топоцентрической системе координат РЛС, при развороте базиса получаются коррелированными. Отсутствие провала в центре плотности распределения ir (X ir /H 2 ) обусловлено тем, что ложные отметки, образованные ретранслированными помехами, могут приближаться друг к другу сколь угодно близко, в отличие от реальных радиолокационных объектов [4,5,10,15,22]. ...
Introduction: Radar information processing methods are used to identify targets at short observation intervals, based on the identification of marks of different radar stations and the parametric identification of a target. However, a mutual comparison of the effectiveness of using such methods of target selection in the conditions of relayed interference has not been carried out. Purpose: The comparison of the reliability of target selection in the conditions of relayed interference in a network of geographically separated radar stations for space surveillance with the implementation of correlation ellipsoid method, strobe method of target selection and spatial separation of measured target positions method. Results: We give the decision rules for dividing the space of coordinate difference of a target into subdomains to make a decision about the truth of the target. We have carried out simulation modeling of the target selection in the conditions of relayed interference and have obtained the dependencies for the change in the probability of erroneous selection of false marks on the normalized range which is measured from the middle of the spacing base of the two geographically separated radar stations. There are also quantitative estimates of the reliability of target selection for various conditions of radar surveillance by two geographically separated radar stations. The gain in increasing the normalized range with the use of the correlation ellipsoid method as compared to strobe methods of target selection and spatial separation of measured target positions method ranged from 36% to 46%. It is shown that in most practical situations one can use the simplest method, that is the spatial separation of measured target positions method, and when solving most important problems the correlation ellipsoid method can be used. Practical relevance: Research results can be used in the development of target selection algorithms in the conditions of relayed interference.
