Detection and estimation of real signals is a well understood problem. However, when complex signals are employed, the classical approach may be widened to take care of correlations between the real and imaginary part of the signal. The report is divided into two parts: in the first one the classical detection problem is applied to analytic signals in order to identify the best detector. In the second part, the solution of the general estimation problem is extended for analytic signals too. Examples of signals used in GPR (Ground Penetrating Radar) applications are employed to carry out closed-form solutions for the detection and estimation problem and to compute their performances. Quantitative results are presented and compared with simulations.
Detection and estimation of analytic signals in Gaussian noise
V Rampa
1996
Abstract
Detection and estimation of real signals is a well understood problem. However, when complex signals are employed, the classical approach may be widened to take care of correlations between the real and imaginary part of the signal. The report is divided into two parts: in the first one the classical detection problem is applied to analytic signals in order to identify the best detector. In the second part, the solution of the general estimation problem is extended for analytic signals too. Examples of signals used in GPR (Ground Penetrating Radar) applications are employed to carry out closed-form solutions for the detection and estimation problem and to compute their performances. Quantitative results are presented and compared with simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
