tailieunhanh - Báo cáo hóa học: " Concept of Complex-Valued Parametric Pulse Models"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Concept of Complex-Valued Parametric Pulse Models | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 74145 Pages 1-7 DOI ASP 2006 74145 Concept of Complex-Valued Parametric Pulse Models Klaus Pourvoyeur 1 Andreas Stelzer 2 and Gerald OBberger1 1 Linz Center of Mechatronics GmbH Altenberger Strafe 69 4040 Linz Austria 2 Institute for Communications and Information Engineering Johannes Kepler University Altenberger Strafe 69 4040 Linz Austria Received 4 February 2005 Revised 7 November 2005 Accepted 8 November 2005 Recommended for Publication by Geert Leus In pulse-based radar systems the knowledge of certain parameters of the received radar pulse is of great importance. We introduce a complex-valued parametric pulse model by extending a real-valued pulse signal into the complex plane. A modulation angle parameter unique to the complex representation gives an additional degree of freedom and can be used to model the basic shape of the pulse thus lifting the conventional restriction to fixed pulse shapes in real-valued correlation techniques. As physical signals are real valued the imaginary part of the complex signal is calculated by using the Hilbert transformation. Parameter estimation is based on the complex-valued continuous wavelet transform. The main advantages of this concept are demonstrated on synthetic data and verified on ultrawideband pulse radar measurements. Copyright 2006 Klaus Pourvoyeur et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION For the detection and characterization of a pulse covered in noise conventional correlation methods like matched filtering with real-valued signal shapes suffer one major drawback in analyzing the sampled signal the requirement of the exact knowledge of the pulse shape. Since this information is generally not available in .