General Modeling & Simulation S/W for Kalman Filter-like applications like Radar Target Tracking/NAV

General Modeling & Simulation S/W for Kalman Filter-like applications like Radar Target Tracking/NAV from TeK Associates

By: TeK Associates  07/28/2010
Keywords: Filter, Navigation, Systems Engineering

TK-MIP® is a high quality Windows-compatible and intuitive menu-driven PC software product for professional engineers, scientists, statisticians, and mathematicians (and for students in these respective disciplines) that performs Kalman Filtering for applications possessing linear models and exclusively white Gaussian noises with known covariance statistics and for its practical nonlinear and time-varying generalizations. It can perform many alternative approximate nonlinear estimation variants for practically handling nonlinear applications as well as performing Kalman Smoothing\Monte-Carlo System Simulation and (optionally) Linear Quadratic Gaussian\Loop Transfer Recovery (LQG\LTR) Optimal Feedback Regulator Control. TK-MIP provides:
-Clear on-line tutorials in the supporting theory, including explicit block diagrams describing TK-MIP processing options, 
-Clear, self-documenting, intuitive Graphical User Interface (GUI). No user manual is needed. This user-centric GUI is easy to learn; hard to forget; and built-in prompting is conveniently at hand as a reminder for the user who needs to use TK-MIP only intermittently (as, say, a manager or other multi-disciplinary scientist or engineer).
-Synopsis of significant prior applications (with details from our own pioneering experience),
-Use of Military Grid Coordinates (a.k.a. World Coordinates) as well as in standard Latitude, Longitude, and Elevation coordinates for object and sensor locations, both being available within TK-MIP (for quick and easy conversions back and forth for possible map output),
-Implementation considerations and a repertoire of test problems for on-line software calibration\ validation,
-Use of a self-contained on-line consultant feature which includes our own TK-MIP Textbook and also provides answers and solutions to many cutting edge problems in the specific topic areas, -how to access our 1000+ entry bibliography of recent (and historical) critical technological innovations that are included in a searchable database (directly accessible and able to be quickly searched  using any derived keyword present in the reference citation, e.g., GPS, author’s name, name of conference or workshop, date, etc.),
-Option of invoking Jonker-Valgenant-Castanon (J-V-C) algorithm for solving the inherent “Assignment Problem” of Operations Research that arises within Multi-Target Tracking (MTT) utilizing estimators,
and manner of effective and efficient TK-MIP use, so Users can learn and progress at their own rate or as time allows (with a quick review always being readily at hand on-line) on your own system without having to search for a misplaced or unintentionally discarded User manual or for an Internet connection. Besides allowing system simulations for measurement data generation and its subsequent processing, actual Application Data can also be processed by TK-MIP, by accessing sensor data via serial port, via parallel port, or via a variety of commercially available Data Acquisition Cards (DAQ) using VITA standard protocols of RS-232, PCI/PCIe, PXI, VXI, GPIB, TCP/IP, Ethernet, as user-selected from TK-MIP’s Main Menu. TK-MIP is independent stand-alone software unrelated to MatLab® or Simulink® and does not rely on or need these products and TK-MIP runs in only 16 Megabytes of RAM. Since TK-MIP outputs its results in an ASCII formatted matrix data stream, these outputs may be passed on to MatLab® or Simulink® after making simple standard accommodations. (TK-MIP adheres to Microsoft COM standard. Release of TK-MIP Version 2 is anticipated for 2011.)

Keywords: Batch Filter, Event Detection, Extended Kalman Filter, Feedback Control, Filter, Global Positioning Systems, Inertial Navigation System, Interactive Multiple Model Filter, Kalman-like Filter, Mathematical Analysis, Navigation, PID Control Compensation, Signal Processing, Smoothing, Systems Engineering, Technical Writing, Tracking Filters, User Interface Design, Visual Basic,