Accession Number:

ADA066367

Title:

Stochastic Separation of Radar Signals.

Descriptive Note:

Doctoral thesis,

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF

Personal Author(s):

Report Date:

1978-12-01

Pagination or Media Count:

225.0

Abstract:

There has been a continuing problem of estimating a radar signal when the noise and the signal have the same power spectra. This is particularly troublesome when one tries to resolve two close targets with a tracking radar. The purpose of this research is to show theoretically that there are practical ways to solve the problem. Two approaches are introduced here. The first is to add a process filter to the radar, and the second is to design a new measuring technique with processing such that the signals will be separable. These two main approaches have led to several new or extended theories which were developed in the course of this work the Probability filter a modified Kalman filter MKF a measurement modification technique for monopulse radar and a new approach to the design of a monopulse tracking radar. Simulations were performed to check the two major theories the M.K.F. and the probability filter. According to the simulations we can say that a tracking radar can be modified in order to solve the problem of separating unresolved targets. Author

Subject Categories:

  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE