INS/GPS Integration with Adaptive Beamforming

F. Berefelt, B. Boberg, F. Eklöf, J. Malmström, L. Pääjärvi, P. Strömbäck, S-L. Wirkander

Abstract:	The Swedish Armed Forces are evolving towards a Network Based Defense (NBD) where accurate position and timing information will be essential. One important capability in NBD is to use, as well as counteract, long-range precision weapons. To simulate and assess the performance of different robust navigation system realizations and countermeasures in various navigation warfare scenarios, a simulation environment is being developed. In this paper we focus on a long-range precision engagement scenario where an aerial platform is navigating towards a stationary target. The proposed navigation system consists of a tightly coupled INS/GPS where measurements are integrated by means of an Extended Kalman Filter (EKF). The INS/GPS is also integrated with an adaptive beamforming antenna array. The target is protected by multiple airborne low-power mini-jammers and a high-power ground based jammer. All jammers are wideband Gaussian noise jammers. Three different beamforming algorithms, Minimum Variance (MV), Linearly Constrained Minimum Variance (LCMV) and Multi-target LCMV (MT-LCMV), from the class of power minimization algorithms are investigated, two of which are direction-constrained. Navigation accuracy in terms of mean position error over the flight path and position error at the end-point is presented for the beamforming algorithms and different antenna array configurations. The system employing the MT-LCMV beamforming algorithm proved to be the most promising, in terms of position error, for navigation warfare scenarios.
Published in:	Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003) September 9 - 12, 2003 Oregon Convention Center Portland, OR
Pages:	1096 - 1106
Cite this article:	Berefelt, F., Boberg, B., Eklöf, F., Malmström, J., Pääjärvi, L., Strömbäck, P., Wirkander, S-L., "INS/GPS Integration with Adaptive Beamforming," Proceedings of the 16th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS/GNSS 2003), Portland, OR, September 2003, pp. 1096-1106.
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