Optimum MTI simulation studies with DFT and ME processors
Abstract
The detection of moving targets in a ground clutter plus receiver noise is a classical problem in MTI radar theory. It has been shown that the MTI consists of a clutter rejection filter followed by a doppler filter. In this paper, the clutter rejection filter is approximated by the combination of limiter followed by a three pulse canceller. The Doppler filter is characterized by a discrete Fourier transform (DFT) processor or a maximum entropy (ME) processor. The performance of the MTI receiver using the DFT and ME processors is thoroughly examined for short data lengths in the case of (1) clutter input and (2) signal plus clutter plus noise input. The input to the DFT filter is weighted by a suitable window function. It is observed that the ME processor is more efficient than the DFT processor.
- Publication:
-
International Conference on Radar
- Pub Date:
- 1986
- Bibcode:
- 1986rada.conf..342P
- Keywords:
-
- Fourier Transformation;
- Maximum Entropy Method;
- Moving Target Indicators;
- Radar Targets;
- Clutter;
- Simulation;
- Communications and Radar