Kalman Filter For Beginners With MATLAB Examplesl _TOP_
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Other applications of the Kalman filter include adaptive noise cancellation in hearing aids and radar targets. This paper shows how to use a low-bandpass filter to determine the radar range or velocity if the true range, velocity, and the position of a radar target are known. The system can recover and track a target's true location with minimum error of position estimate. This is because, more often than not, radar targets are weak and small in magnitude.
This paper shows how to design, configure, create, and simulate a system that produces a desired output (y) against a set of stimuli (u). This system uses filters to process the data (in this case, the signal y has the value 0 to 10; actual output is plotted on the figure). This system also implements the inverse of the filters (separately). An interesting feature of this system is that the system outputs y* and 1-y and are used as stimuli u* and 1-u, respectively. Hence, the y system has the property that it feedbacks stimuli that are not necessarily of the correct value to achieve a desired response.
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