Applicability of the relay correlator to radar signal processing
Abstract
The performance of the relay estimator for evaluating the autocorrelation coefficients of a zeromean stationary Gaussian process is evaluated for uncorrelated and correlated pairs of samples. The very low computational cost of the relay estimator makes it particularly attractive in radar applications. A very close agreement is found between the theoretical formulas and the results of several simulation tests. It is shown that the number of pairs required by the relay estimator for obtaining the same standard deviation as the conventional estimator is, in the case of correlated pairs and the Gaussian law of correlation, approximately twice that required by the latter in a large range of values of p(j).
 Publication:

Electronics Letters
 Pub Date:
 September 1983
 DOI:
 10.1049/el:19830491
 Bibcode:
 1983ElL....19..722C
 Keywords:

 Adaptive Filters;
 Autocorrelation;
 Radar Detection;
 Signal Processing;
 Correlation Coefficients;
 Correlation Detection;
 Digital Filters;
 Estimating;
 Parameter Identification;
 Performance Prediction;
 Standard Deviation;
 Statistical Correlation;
 Systems Simulation;
 Communications and Radar