Downloads: 53 | Views: 170
Research Paper | Signal Processing | China | Volume 9 Issue 7, July 2020 | Popularity: 6.4 / 10
Long-Time Signal Nonlinear Integration with Arbitrary Complex Envelope
Zhang Yangmei, Bi Yang
Abstract: The migration of echo envelop and the complex underwater acoustic environment are challenging issues in long-time signal integration. In previous studies of long-time coherent integration, researchers usually constructed multi-pulse echo model with linear frequency modulation (LFM) signal to deduce perfect analytical formula, it has no generality when other sonar waveforms are used. Aiming to solve the problems, a nonlinear pulse integration method with arbitrary complex envelope form is discussed in this paper. The nonlinear procedure is to utilize multiply operation instead of add operation to accumulate the power of the received signals in various returns from the detected target moving with a uniform velocity. And a general expression of the integration output of the signal with arbitrary waveform envelope is given in the form of wideband ambiguity function.
Keywords: multiplication-based integration, arbitrary envelope, impulsive noise, underwater target detection, pulse integration
Edition: Volume 9 Issue 7, July 2020
Pages: 1262 - 1266
Make Sure to Disable the Pop-Up Blocker of Web Browser
Downloads: 139 | Views: 323
Signal Processing, United Kingdom, Volume 9 Issue 1, January 2020
Pages: 1873 - 1876Enhancing the Quality of Sound using Fast Fourier Transform in Python
Criton Jose Kallukkaran, Yashraj Morde
Downloads: 128 | Views: 285
Signal Processing, Bangladesh, Volume 6 Issue 4, April 2017
Pages: 2013 - 2021Time-Frequency Analysis of EEG Signal processing for Artifact Detection
Mst. Jannatul Ferdous, Md. Sujan Ali
Downloads: 127 | Views: 271
Signal Processing, China, Volume 6 Issue 6, June 2017
Pages: 164 - 168An Adaptive Approach to Improve Canny Method for Edge Detection
Isaack Kamanga
Downloads: 110 | Views: 267
Signal Processing, Bangladesh, Volume 6 Issue 4, April 2017
Pages: 2029 - 2035A Comparison of Wiener and Kalman Filters for the Artifact Suppression from EEG Signal
Mst. Jannatul Ferdous, Md. Sujan Ali
Downloads: 107 | Views: 237
Signal Processing, India, Volume 9 Issue 6, June 2020
Pages: 294 - 298Bat-LMS based Adaptive Filtering and Stock-well Transform Based Characteristics Point Extraction for Impedance Cardiography
Dr. Madhavi Mallam, Dr. A Guruva Reddy