Abstract
Moving target indication (MTI) is an effective means for radar to find moving targets in clutter environment. This paper introduces the basic principles of MTI, how to avoid the blind speed problem and the optimization of MTI filter. Implementing the multi-notch adaptive moving target indication (AMTI) filter that designed by using the stagger code in varied cases, which is based on a feature vector method optimization.
Highlights
Moving target indication (MTI) band-stop filter as a “single channel”, followed by detection is relatively simple
This paper introduces the basic principles of MTI, how to avoid the blind speed problem and the optimization of MTI filter
Implementing the multi-notch adaptive moving target indication (AMTI) filter that designed by using the stagger code in varied cases, which is based on a feature vector method optimization
Summary
MTI band-stop filter as a “single channel”, followed by detection is relatively simple. The firstorder basic method is to use the interval-based velocity measurement and the zero-point distribution method to determine the weighting parameters of the clutter cancellation filter to obtain the filter whose notch is aligned with the center of the clutter spectrum [2]. The second-order basic method is to estimate the clutter covariance matrix, and use matrix inversion or feature decomposition feature vector method to determine the filter weight coefficient. MTI is optimized, and the appropriate filter coefficients are designed by the feature vector method, which can effectively suppress the clutter. The use of stagger code design MTI filter to eliminate the impact of blind speed. In order to suppress such clutter, this paper adopts adaptive motion clutter suppression technique AMTI, and designs multi-notch AMTI filter [3]
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