Discrete Transform Methods in Adaptive Radar Detection.
Abstract
The use of Discrete Transforms in adaptive radar detection systems operating in colored noise environment is studied. The trade-off between the gain in computational economy and the loss of functional performance affected by suboptional transforms is evaluated. It is concluded that in situations where signal option is available there exist no advantages for transform processing; asymptotic convergence to optimal performance and substantial savings in computation can be achieved in real-time processing. If signal design is restricted, suboptimal transform processing is essential to manage the computational requirement imposed by the adaptive nature of the detector. In such cases the Fourier and Walsh transforms were compared as likely candidates. The author found the FFT superior as it bounds the performance degradation in the worst case analysis. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 1973
- Accession Number
- AD0761219
Entities
People
- Joseph Salzman
Organizations
- University of California, Los Angeles