Adaptive GPS Tracking Loop Bandwidth Tuning Using Fuzzy Control and Inertial Aiding for Missile Applications | ||||
| The International Conference on Electrical Engineering | ||||
| Article 65, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-18 PDF (669.22 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2010.33040 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ahmed M. Kamel | ||||
| Position, Location and Navigation (PLAN) Group Department of Geomatics Engineering Schulich School of Engineering University of Calgary, Alberta, Canada. | ||||
| Abstract | ||||
| Abstract: Autonomous Navigation Systems (ANS) used in ballistic or cruise missiles are mostly dependent on very high grade Inertial Navigation System (INS). INS is a dead reckoning system and its navigation solution always drifts with time from the correct one. Using aiding from other navigation sensors such as Global Positioning System (GPS) can help getting much better navigation solution and can allow dependence on lower grade INS. Data fusion from both INS and GPS can be done through an Extended Kalman Filter (EKF) either by fusing navigation solution from both sensors in a loosely coupled (LC) technique, or by using Doppler measurements aiding to aid INS or both INS and GPS as in tightly coupled (TC) or tightly coupled with aiding (TCA) technique which is sometimes called Ultra-Tight (UT) integration. GPS usage has limitations in terms of missile high dynamics and signal interference. The GPS receiver requirements to avoid these problems are conflicting. The Phase Lock Loops (PLLs), used to track GPS signals, are required to have a bandwidth as narrow as possible to reduce the impact of signal interference. On the contrary, the loop bandwidth has to be as wide as possible to accommodate high signal dynamics. To solve this contradiction, a new adaptive GPS tracking loop bandwidth tuning algorithm is designed based on integrated INS/GPS through an EKF linked to a Fuzzy Logic Controller (FLC). This controller senses the vehicle dynamics and the jamming signal conditions and decides the bandwidth value according to those inputs. The Adaptive Fuzzy Ultra Tight (AFUT) GPS/INS integration architecture has been developed and assessed by simulation using SPIRENT GSS7700 GPS hardware simulator showing that it provides a significant anti-jam and dynamics margins over an INS/GPS with fixed tracking bandwidths in addition to the ability of using lower grade and cheaper inertial sensors. | ||||
| Keywords | ||||
| GPS; INS; Interference; High dynamics; fuzzy; Kalman filter | ||||
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