A new approach to signal registration with the emphasis on variable time delay estimation
Abstract
The problem of Signal Registration is viewed as a problem in nonlinear estimation. A received waveform r(t) is the sum of a nonlinearly modulated signal s(t,a(t)) and white Gaussian noise n(t) (power spectrum height No/2). The modulating signal a(t) is zero mean and has a known covariance function Ka(t,z). New algorithms are developed to estimate a(t) from r(t) = s(t, a(t)) + n(t). Special consideration is given to the problem of estimating a timevarying time delay. The performance of the estimation algorithm is studied both analytically and by simulation and compared to previously known techniques.
 Publication:

Ph.D. Thesis
 Pub Date:
 1985
 Bibcode:
 1985PhDT........10N
 Keywords:

 Algorithms;
 Covariance;
 Modulation;
 Nonlinear Systems;
 Power Spectra;
 Random Noise;
 Signal Reception;
 Time Dependence;
 Time Lag;
 Waveforms;
 White Noise;
 Analysis (Mathematics);
 Electromagnetic Interference;
 Estimating;
 Simulation;
 Communications and Radar