Array of sensors: A spatiotemporal-state-space model for target trajectory tracking

In this paper, with the objective of tracking the trajectory of multiple mobile targets, a novel spatiotemporal-state-space model is introduced for an array of sensors distributed in space. Under the wideband assumption, the proposed model incorporates the array geometry in conjunction with crucial target parameters namely (i) ranges, (ii) directions, (iii) velocities and (iv) associated Doppler effects. Computer simulation studies show some representative examples where the proposed model is utilised to track the locations of sources in space with a very high accuracy

The impact of sensor positioning on the array manifold

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Target Tracking with a Flexible UAV Cluster Array

Unmanned aerial vehicle (UAV) cluster applications, for tasks such as target localisation and tracking, are required to collect and utilise the data received on “flexible” sensor arrays, where the sensors, i.e. UAVs in this scenario, have time-variant positions. In this paper, using a parametric channel model, a UAV cluster mobility model and a kinematic model of the targets, an extended Kalman based state space model is proposed that tracks the unknown UAV positions and target parameters snapshot by snapshot. Simulation studies illustrating the tracking capabilities of the proposed technique have been presented

Super-resolution broad null beamforming for cochannel interference cancellation in mobile radio networks

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A polynomial rooting approach to super-resolution array design

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Blind reception of multicarrier DS-CDMA using antenna arrays

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Beamforming-type base station power control for personal communication networks

Published versio

Crossed-dipole arrays for asynchronous DS-CDMA systems

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Preprocessing algorithm for source localisation in a multipath environment

Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, non-LOS (NLOS) paths are also present, then all existing localisation algorithms dramatically fail to estimate the location of the source. In this paper, a passive array processing algorithm is proposed, which, if used prior to a localisation approach, suppresses all the multipath contributions in the received signal except for that of the LOS path. The performance of the proposed algorithm is evaluated through computer simulation studies

Modeling and estimation of ambiguities in linear arrays

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