Network-Centric Systems for Military Operations in Urban Terrain: The Role of UAVs

Samad, Tariq; Bay, John S.; Godbole, Datta N.

doi:10.1109/jproc.2006.887327

Cited by 162 publications

(57 citation statements)

References 25 publications

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“…Trajectories of which are optimized over all 6 sensors in the PSO-ONS scenario. We assume the received signal-to-noise ratio varies as in free-space propagation scenario [12]; the emitter signal frequency is 10GHz; the total number of intermediate states for each aircraft is 20; time between each intermediate state is ∆t = 5s; and platform velocity is bounded v ≤ 100m/s and the applied thrust u ≤ 1000 Newton, which is a reasonable assumption for UAVs [13]. The size of the particle swarm is 5, and we do 20 iterations in each PSO procedure.…”

Section: Simulation Resultsmentioning

confidence: 99%

Finding optimal trajectory points for TDOA/FDOA geo-location sensors

Ren

Fowler

2009

2009 43rd Annual Conference on Information Sciences and Systems

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Abstract-In emitter geo-location estimation systems, it is well known that the geometry between sensors and the emitter can seriously impact the accuracy of the location estimate. Here we consider a case where a set of sensors is tasked to perform a sequence of location estimates on an emitter as the sensors progress throughout their trajectories. The goal is to select the trajectories so as to optimally improve the location estimate at each step in the sequence. To build the optimal trajectories, the aircraft, at their current locations, need to know their optimal next states at the time of next estimation, under the constraint of a reachable set due to limited reachable velocity or thrust. In this paper, we propose a one-step method to tackle the optimal next state(ONS) problem using the Particle Swarm Optimization(PSO) by solving the optimal amount of applied thrust along the flying trajectories. Simulation results show that the proposed method dramatically improves the estimation accuracy along the flying trajectories, compared to the random walk and constant velocity scheme. We also show that the estimation accuracy performance is also insensitive to the problem dimensionality.

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Section: Simulation Resultsmentioning

confidence: 99%

Finding optimal trajectory points for TDOA/FDOA geo-location sensors

Ren

Fowler

2009

2009 43rd Annual Conference on Information Sciences and Systems

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“…Researchers have investigated NCSs in the recent past owing to their advantages and applications [16][17][18][19][20][21][22][23][24][25]. NCSs has many advantages like flexibility, modularity, ease of implementation, reduced wiring, reduction in cost, modularity to name a few.…”

Section: Control Loops Integrated With Communication Channels For Infmentioning

confidence: 99%

“…Accurate maintenance of a geometric configuration among multiple agents moving as a team promises less expensive, more capable systems that can accomplish objectives which might have been impossible with a single agent. The concept of formation control has been studied extensively in the literature with application to the coordination among robots [21][22][23][24][25][26][27][28][29][30], UAVs [31], AUVs [32], satellites [33], aircraft [34], and space craft [35]. There are multiple advantages to using formations of agents.…”

Section: Control Loops Integrated With Communication Channels For Infmentioning

confidence: 99%

Robot Navigation and Guidance

Raol¹

2016

Mobile Intelligent Autonomous Systems

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“…1) In these operations, each aircraft has the responsibility of maintaining a conflict-free trajectory (i.e., maintaining sufficient vertical or horizontal separation between its own trajectory and other aircraft trajectories). Thus far, many approaches have been proposed for conflict prevention and resolution.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control for Parallel Planning of Conflict-free Trajectories for Multiple Aircraft

Yokoyama

2014

Trans. Japan Soc. Aero. S Sci.

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This paper proposes a parallel model predictive control (MPC) scheme for planning conflict-free trajectories for multiple aircraft, in which each aircraft's computer synchronously solves mixed-integer quadratically constrained quadratic programming (MIQCQP) problems. The main contribution of this paper is the formulation of compatibility constraints for the separation of aircraft, which guarantees recursive feasibility and enables synchronous calculations. Moreover, the constraints on the velocity and acceleration, which are often overly simplified in existing studies, are tightly formulated in the framework of mixed-integer linear constraints. Through numerical simulations, the effectiveness of the scheme is confirmed in terms of the scalability, the recursive feasibility, and the validity of the trajectories.

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Network-Centric Systems for Military Operations in Urban Terrain: The Role of UAVs

Cited by 162 publications

References 25 publications

Finding optimal trajectory points for TDOA/FDOA geo-location sensors

Finding optimal trajectory points for TDOA/FDOA geo-location sensors

Robot Navigation and Guidance

Model Predictive Control for Parallel Planning of Conflict-free Trajectories for Multiple Aircraft

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