EMA3100A Target Motion Simulator Quick Fact Sheet
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The EMA3100A Target Motion Simulator is used to generate motion modeling and target tracking data in 2D and 3D Cartesian and polar domains. Motion modeling can be performed using known functions, polynomials, velocity vectors, and acceleration vectors starting from a point and time. Paths can be combined and true motion, sensor measurements, and missing data can be modeled by applying random distributions over time. The trajectories of targets can be viewed as static plots or animated plots showing the position of targets over time.
EMA3100A Target Motion Simulator Quick Fact Sheet
- 1. EMA3100A Target Motion Simulator Quick Fact Sheet Release R2.1
- 2. Motion Modeling & Target Tracking Data Generation in Cartesian 2D/3D and Polar Domains EMA3100A Target Motion Simulator is mainly used for Motion Modeling and Target Tracking Data Generation in Cartesian 2D, Cartesian 3D and Polar Domains in Range-Azimuth, Range-Elevation and Azimuth Elevation.
- 3. Motion Modeling by a Variety of Methods Motion Modeling is performed by using Known Functions and Start Point plus Time of Motion, Third Order Polynomials and Start Point plus Time of Motion, Second Order polynomials and Start Point plus Time of Motion, Velocity Vectors and Start Point plus Time of Motion, Acceleration Vectors and Start Point plus Time of Motion.
- 4. Path Modeler, Path Combiner Paths modeled in either Cartesian Domain 2D/3D or in Polar Domain by Motion Modeler can be combined in different combinations.
- 6. True Motion, Sensor Measurements and Missing Data Motion Modeling is performed by using Known Functions and Start Point plus Time of Motion, Third Order Polynomials and Start Point plus Time of Motion , Second Order polynomials and Start Point plus Time of Motion, Velocity Vectors and Start Point plus Time of Motion, Acceleration Vectors and Start Point plus Time of Motion.
- 7. Sensor Measurement Models and Missing Data Models Sensor Measurements and Missing Data modeled by using random distributions applied either as a stationary model or by including a time frame segmentation. Currently Beta, Cauchy, ChiSquare, Erlang, Exponential, Gamma, Gaussian, Laplace, Lognormal, Uniform and Weibull distributions are available.
- 8. Static and Animated Plots of Target Motions The trajectories of targets can be monitored as static post analysis plots or as animated plots showing the position of targets at each time instant with or without traces.
- 9. more info, EMA3100A User Guide and other supplementary downloadable material can be reached via ; http://www.egniya.com/products_ENG/EMA3100_ENG.html www.egniya.com info@egniya.com