Accession Number : ADA180044

Title :   Radar Target Identification Techniques Applied to a Polarization Diverse Aircraft Data Base.

Descriptive Note : Technical rept.,

Corporate Author : OHIO STATE UNIV COLUMBUS ELECTROSCIENCE LAB

Personal Author(s) : Kamis,Alex J ; Walton,E K ; Garber,F D

PDF Url : ADA180044

Report Date : Mar 1987

Pagination or Media Count : 145

Abstract : The report investigates the performance of several types of multi-frequency radar systems employing a data base of measured monostatic radar signatures as descriptors for Radar Target Identification (RTI). The approach, a Monte-Carlo computer simulation, enables the evaluation of radar systems exploiting various aspects of RTI techniques. These aspects, examined by misclassification percentage curves, are: the number of interrogation frequencies, operating bandwidths, classification algorithm types, larger target aspect zones, and target descriptors called feature vectors? The data base of radar signatures was obtained at The Ohio State University ElectroScience Laboratory Compact Range facility, and consisted of scale model monostatic calibrated radar measurements from five commercial aircraft. It is shown that the fully-coherent radar feature vectors HH, VV, RR, LL, and RL perform very effectively for target identification with signal to noise ratios of O dB. It is also shown that the low-frequency sector of the data base provides good classification performance versus noise power, and that the number of frequencies within a given bandwidth is optimized by Shannon's sampling theorem.

Descriptors :   *RADAR SIGNATURES, *TARGET CLASSIFICATION, *TARGET SIGNATURES, *RADAR TARGETS, *TARGET RECOGNITION, ALGORITHMS, BANDWIDTH, CLASSIFICATION, COMMERCIAL AIRCRAFT, COMPUTERIZED SIMULATION, DATA BASES, FREQUENCY, IDENTIFICATION SYSTEMS, INTERROGATION, LOW FREQUENCY, MONOSTATIC RADAR, MONTE CARLO METHOD, NOISE, POWER SPECTRA, RADAR, RADAR EQUIPMENT, SAMPLING, SIGNAL TO NOISE RATIO, TARGETS, THEOREMS

Subject Categories : Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE