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Proceedings ArticleDOI

A transfer alignment algorithm study based on actual flight test data from a tactical air-to-ground weapon launch

C.C. Ross, +1 more
- pp 431-438
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TLDR
In this paper, the authors provide results from a joint study of various transfer/alignment (T/A) techniques including velocity matching, integrated velocity matching and doubly integrated T/A approaches.
Abstract
The paper provides results from a joint study of various transfer/alignment (T/A) techniques including velocity matching, integrated velocity matching, and doubly integrated velocity matching approaches. The goal is to determine how the various algorithms perform when driven with actual flight test data. The study addresses key T/A Kalman filter issues such as the effect of wing flexure vibration on instrument error estimation and rapid alignment concepts. A description of how a T/A Kalman filter is implemented and used in inertially guided weapons is included. The data used in the study was acquired from the Air Force Operational Concept Demonstration (OCD) Program. The OCD effort was performed by the Air-To-Surface Weapons System Program Office (SPO) at Eglin AFB in late 1992 and early 1993. The Eglin SPO initiated the flight test program to demonstrate the effectiveness of GPS/INS integration in a tactical weapon. The test was conducted using a Honeywell Integrated Flight Management Unit (IFMU) and an Interstate Electronics 5-channel P-code GPS receiver in a GBU-15 airframe on board a block 40 F-16 aircraft. Telemetry data from this OCD weapon was transmitted continuously from the beginning of weapon alignment to final impact on the ground. The OCD telemetry stream contained INS and GPS data from both the aircraft and weapon during captive carriage T/A maneuvers. After launch, the weapon data alone was transmitted during the free flight to the target. These messages provide the data set used in the T/A study. >

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Citations
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Journal ArticleDOI

Analytic Coarse Transfer Alignment Based on Inertial Measurement Vector Matching and Real-Time Precision Evaluation

TL;DR: The simulation and flight test demonstrate that the presented method has a smaller calculation cost and satisfactory convergence, and the corresponding precision evaluation algorithm can describe the trend of true alignment error accurately, and is good enough to judge the moment for switching to the fine alignment.
Proceedings ArticleDOI

Weapon IMU transfer alignment using aircraft position from actual flight tests

R.M. Rogers
TL;DR: Results from a study of weapon inertial measurement unit (IMU) transfer alignment using the aircraft's navigation system position data show that a weapon's navigation frame can be aligned to an accuracy of less than 1 milliradian.
Journal ArticleDOI

Transfer alignment problem: Algorithms and design issues

TL;DR: A detailed review of the evolution of transfer alignment problem has been presented, with emphasis on statistical and algorithmic aspects of the problem rather than time line of work already done.
Journal ArticleDOI

Design and Development of a Real-Time Multi-DSPs and FPGA-Based DPOS for InSAR Applications

TL;DR: A novel design and fabrication of DPOS is described, which integrates the main strapdown inertial navigation system (SINS), global position satellite (GPS), multiple slave inertial measurement units (IMUs), and distributed navigation processing computer system.
Journal ArticleDOI

Performance enhancement of large-ship transfer alignment : a moving horizon approach

TL;DR: In this article, the authors proposed a new method of attributing weak observable states and lever-arm variables to a group of constraints in order to improve the observability of a shipborne transfer alignment model.
References
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Book

Applied Optimal Estimation

Arthur Gelb
TL;DR: This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation, and the theory and practice of optimal estimation is presented.