adaptive fusion of inertial navigation system and tracking radar data
نویسندگان
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.
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...
متن کاملAdaptive 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...
متن کاملPrecision and Reliability Incensement of Inertial Navigation System with Rotation and Redundancy
Precision and reliability are two main performance characteristic in low-cost Inertial Navigation System(INS). Increase of precision in low-cost INS without auxiliary sensors is main challenge. Bias instability leads to position drift error in inertial navigation system. In addition, fault occurrence makes the sensor reliability is decreased. Rotation of Inertial Measurement Unit(RIMU) and use ...
متن کاملInertial Indoor Navigation System
This paper represents a first step in developing an indoor navigation system based only on Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope sensors. The major advantage of the proposed inertial navigation system consists on the fact that it does not require any complex infrastructure to be able to operate. For determining the distance it uses three axis accelerometer sensors,...
متن کاملA Target Tracking System based on Radar and Image Fusion
A target tracking system based on radar and image information fusion is studied in this paper, the idea of " feedback + guide " is presented. The fusion information coming from fusion center is fed to the local sensors as their initial value. The distance element and angle elements are used to guide image sensor to track target. Angle elements are used to guide radar to do the same thing. This ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
international journal of electrical and electronics engineeringجلد ۴۸، شماره ۲، صفحات ۸۱-۹۲
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023