adaptive fusion of inertial navigation system and tracking radar data

نویسندگان

mahdi fathi

department of aerospace engineering, malek ashtar university of technology nematollah ghahramani

faculty/ department of electrical engineering, malek ashtar university of technology mohammad ali shahi ashtiani

faculty/ department of aerospace engineering, malek ashtar university of technology mohsen fallah

faculty/ department of electrical engineering, malek ashtar university of technology ali mohammadi

چکیده

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the filter parameters including the fading factors and the measurement and process noises scaling factors based on the ratio of the actual residual covariance to the theoretical one. in fact, due to the unknown and fast-varying statistical parameters of the radar measurement noises and their nonlinear characteristics, applying a conventional kalman filter to ins/radar data fusion yields a low performance navigation and in-flight alignment. the monte carlo simulation results of the integrated navigation system on an interceptor missile trajectory indicate the new algorithm has an effective performance in face of nonlinearities and uncertainties of the tracking radar measurements. these results allow to know whether the fine in-flight alignment and high performance navigation can be possible for the long-range air defense missile using the low-cost ins/radar system without aiding global navigation satellite system signals or not.

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منابع مشابه

Adaptive Fusion of Inertial Navigation System and Tracking Radar Data

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

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Adaptive Fusion of Inertial Navigation System and Tracking Radar Data

81 AIJ Electrical & Electronics Engineering, Vol 48, No. 2, Fall 2016 Please cite this article using: Fathi, M., Ghahramani, N., Ashtiani, M. A. S., Mohammadi, A., and Fallah, M., 2016. “Adaptive Fusion of Inertial Navigation System and Tracking Radar Data”. Amirkabir International Journal of Electrical and Electronics Engineering, 48(2), pp. 81–91. DOI: 10.22060/eej.2016.818 URL: http://eej.au...

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عنوان ژورنال:
international journal of electrical and electronics engineering

جلد ۴۸، شماره ۲، صفحات ۸۱-۹۲

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