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Networked radar systems have been demonstrated to offer enhanced target tracking capabilities. An effective radar resource allocation strategy can efficiently optimize system parameters, leading to performance enhancements. In this paper, two critical but limited system resources are considered for optimization: the number of radar nodes and the transmitted power. In this scenario, a joint node selection...
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...
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...
Networked radar systems have shown significant advances in target tracking. Reasonable power allocation strategy can sufficiently utilize the limited power resources, hence leading to the improvement of tracking performance. However, towards the existing power allocation strategies, the system configuration is only restricted to centralized architectures. Besides, practical communication requirements...
Distributed MIMO radar systems have demonstrated to offer enhanced target localization capabilities. Reasonable power allocation strategies are designed to motivate a maximal system potential. However, the existing power allocation strategies strongly depend on the accuracy of previous position estimation, which restricts the real-time applications. In this paper, we extend the existing works to a...
A distributed multiple-input multiple-output (MIMO) radar system is capable of tracking multiple targets under the "defocused transmit-focused receive" (DTFR) operating mode in which each transmitter forms a completely defocused beam to illuminate the whole surveillance region and each receiver adopts a focused beam to attain a higher resolution. However, when operating in this mode, there...
Multiple radar systems have shown significant advances in target tracking. Reasonable power allocation strategy can sufficiently utilize the limited power resources and in turn, improve the system tracking performance. However, towards the existing power allocation strategies, the system configuration is only restricted to the centralized architecture, and practical communication requirements and...
This paper proposes a knowledge-aided covariance estimation approach for space-time adaptive processing to deal with the performance degradation in heterogeneous clutter environment. In this approach, considering the fact that the clutter scattering power often varies considerably from different terrain types, but changes little from the similar terrains, an adaptive cluster analysis on clutter scattering...
This paper mainly deals with the performance degradation for space-time adaptive processing in rugged circumstances resulted from insufficiency of applying priori knowledge, and an improved knowledge-aided algorithm is proposed based on Morchin clutter model. In this algorithm, the grazing angle, terrain classification, terrain masking of all clutter cells is estimated through digital terrain information...
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