A Theory for Optimal MTI Digital Signal Processing: Part 1. Receiver Synthesis
Abstract
A classical problem in radar theory is the detection of moving targets in a ground clutter plus receiver noise background. Improvements in clutter rejection have recently been made by replacing analog MTI processors by their digital equivalents as this eliminates many of the problems associated with the maintenance of the analog hardware. In an attempt to determine the ultimate improvements possible using this new technology, the MTI problem was formulated as a classical detection problem and solved using the generalize likelihood ratio test. By manipulating the likelihood ratio, the receiver could be interpreted as a clutter filter in cascade with a doppler filter bank. The performance of the optimum receiver was evaluated in terms of the output signal- to-interference ratio and compared with well-known MTI processors. It was shown that near-optimum performance can be obtained using a sliding weighted Discrete Fourier Transform (DFT).
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 22, 1972
- Accession Number
- AD0738298
Entities
People
- Robert J. Mcaulay
Organizations
- Massachusetts Institute of Technology