An Accurate Multistatic Radar RCS (MRCS) for Airhawk F117 Stealthy Target

El-Kamchouchy, Hassan; Saada, Khaled; Hafez, A. E.S.

doi:10.1109/uksim.2013.60

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…where k B is the Boltzmann constant, T temp is the absolute temperature, h C i is the communication channel gain from user i to the BS, and P r,C i is the received power at BS. In particular, P r,C i is determined as P r,C i = 2 , where P C i is the communication transmit power of user i, G C i,T is the communication antenna gain of the user, G C i,B is the receiving antenna gain of the BS, d C i is the distance between the user and the BS, and f c is the carrier frequency.…”

Section: A System Modelmentioning

confidence: 99%

“…where P r,R i is the power received at the sensing receiver of user i, h R i is the roundtrip channel gain from the JSC user to the target, and κ is defined as κ = 8π 2 σ 2 proc γ 2 , where γ 2 = (2π) 2 /12. In particular, P r,R i is defined as 2 , where P r,R i is the radar transmit power of user i, G R i is the radar antenna gain, d R i is the distance between the user and the target, and σ cross is the target cross section.…”

Section: A System Modelmentioning

confidence: 99%

“…As such, JSC improves the efficiency of resources, i.e., spectrum and energy, reduces the system size, and minimizes the system cost. These advantages make JSC become one of the most potential technologies for civilian applications, e.g., autonomous vehicle systems and flying wireless mesh networks [1], and military applications, e.g., flying target tracking [2], airborne system [3] and groundbased systems [4]. Multistatic radar systems [5] are considered to be a distributed JSC (DJSC) system that consists of multiple spatially diverse JSC nodes located in a large area.…”

Section: Introductionmentioning

confidence: 99%

“…FEO stands for fair and efficiency optimization 2. The proof of the nonconvexity of Fp is given in Appendix.…”

mentioning

confidence: 99%

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Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness

Nguyễn¹,

Elbassioni²,

Luong³

et al. 2021

Preprint

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In this paper, we consider a distributed joint sensing and communication (DJSC) system in which multiple radar sensors are deployed. Each radar sensor is equipped with a sensing function and a communication function, and thus it is considered to be a JSC node. The JSC nodes are able to perform sensing their surrounding environments, e.g., weather conditions or available spectrum. Furthermore, they can cooperatively detect and track a common target. The information, i.e., of the environment and target, collected by the JSC nodes is transmitted to a base station (BS), i.e., a data fusion point, for further processing. As such, different aspects of the target to be viewed simultaneously, which significantly improves the performance of the target detection and tracking. However, both the sensing function and communication function require a certain amount of bandwidth for their operations, and deploying multiple JSC nodes may consume a large amount of bandwidth. Therefore, we investigate the bandwidth allocation problem for the DJSC system. In particular, we aim to optimize the bandwidth allocation to the sensing function and the communication function of the JSC nodes. To improve the allocation efficiency while benefiting the spatial diversity advantage of the DJSC systems, the objective is to maximize the sum of sensing performances, i.e., estimation rates, communication performances, i.e., communication data rates, and fairnesses of all the users. The optimization problem is non-convex and difficult to be solved. For this, we propose a fully polynomial time approximation algorithm, and we prove that the approximation algorithm can guarantee a near-optimal solution with an accuracy bound of . Furthermore, we propose to use a heuristic algorithm with lower complexity. The simulation results show that both the proposed algorithms are able to achieve the solutions close to the optimum in a computationally efficient fashion.

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Section: A System Modelmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%