Radar system with adaptive clutter suppression

Communications: directive radio wave systems and devices (e.g. – With particular circuit – Spectrum analysis

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

324 7619, G01S 1300, G01R 2316

Patent

active

055394124

ABSTRACT:
A method of spectral estimation of a received radar signal wherein an image of the received radar signal is applied to windows of differing prolate spheroidal sequences to calculate multiple eigenspectra. The value of each of said sequences are multiplied with the radar signal, and the Fourier transforms of the products provide a plurality of realizations of orthogonal eigenspectra. The orthogonal eigenspectra are combined into a minimum variance, low bias estimate of the mean power spectrum and an estimate of a variance of said spectrum for each frequency in the spectrum to provide a more accurate estimate of back ground noise and to further improve detection performance.

REFERENCES:
patent: 3775768 (1973-11-01), Lisle et al.
patent: 3877010 (1975-04-01), Holberg et al.
patent: 3995271 (1976-11-01), Goggins, Jr.
patent: 4064511 (1977-12-01), Manfanovsky
patent: 4290066 (1981-09-01), Butler
patent: 4542381 (1985-09-01), Wilhelm
Adams, J. W., "A New Optimal Window", IEEE Trans. On Signal Processing, vol. 39, No. 8, Aug. 1991, pp. 1753-1769.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Radar system with adaptive clutter suppression does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Radar system with adaptive clutter suppression, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Radar system with adaptive clutter suppression will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-716224

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.