Hostname: page-component-7bb8b95d7b-cx56b Total loading time: 0 Render date: 2024-09-21T10:14:58.711Z Has data issue: false hasContentIssue false
  • English
  • Français

The Multichannel Spectrum Analyzer

Published online by Cambridge University Press:  04 August 2017

A. M. Peterson ,
K. S. Chen  and
I. R. Linscott
A. M. Peterson
Affiliation:
Space, Telecommunications and Radioscience Laboratory, Stanford University, Stanford, CA 94305
K. S. Chen
Affiliation:
Space, Telecommunications and Radioscience Laboratory, Stanford University, Stanford, CA 94305
I. R. Linscott
Affiliation:
Space, Telecommunications and Radioscience Laboratory, Stanford University, Stanford, CA 94305

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The MCSA is a special-purpose digital signal processor. Its main function is to filter a wide-band signal into many narrower bands, so that each of the output bands has a bandwidth that is a better match to the signal being searched for.

The basic MCSA provides simultaneous output bandwidths of approximately 1 HZ, 32 Hz, 1024 Hz, and 74 kHz over a spectrum that is about 8 MHz wide. The input to the MCSA consists of a complex signal sampled at 10 MHz, and the outputs consist of either complex samples or power (square-law-detected) samples. In addition, the MCSA provides an accumulator for taking the integral of the power of the output bands for periods up to 1000 sec.

The MCSA hardware is constructed using wire-wrap technology. The implementation of the hardware is done with the aid of a computer program developed specifically for the design of the MCSA. Care has been taken in the MCSA design to ensure that engineering tradeoffs do not adversely affect the performance of the system.

Type
Section VI. Technological Progress in Radio Searches
Information
Symposium - International Astronomical Union , Volume 112: The Search for Extraterrestrial Life: Recent Developments , 1985 , pp. 373 - 383
Copyright
Copyright © Reidel 1985 

References

Kolba, D.P., and Parks, T.W., ‘A prime factor FFT algorithm using high speed convolution,’ IEEE Trans. Acoustics, Speech, Signal Processing, ASSP-25, pp. 281–294, August 1977.Google Scholar
Narasimha, M.J., and Peterson, A.M., ‘Design of a 24-Channel Transmultiplexer,’ IEEE Trans. Acoustics, Speech, Signal Processing, ASSP-27, No. 6, pp. 752–762, December 1979.CrossRefGoogle Scholar
Narasimha, M.J., and Peterson, A.M., ‘Design and Applications of Uniform Digital Bandpass Filter Banks,’ International Conf. on ASSP, Tulsa, OK, April 10–12, 1978, IEEE ICASSP Record, pp. 499–503, 1978.Google Scholar
Narasimha, M.J., Peterson, A.M., and Narayan, S.S., ‘Implementation of Real-Time Digital Signal Processing Systems,’ SPIE 22nd Annual Technical Symposium, Sand Diego, CA, August 28–31, SPIE Proceedings, 154, pp. 81–90, 1978.Google Scholar
Narayan, S.S., ‘Topics in Digital Signal Processing,’ Ph. D. Dissertation, pub. Stanford Electronics Laboratories, Stanford University, Stanford, CA, June, 1981.Google Scholar
Narayan, S.S., Narasimha, M.J. and Peterson, A.M., ‘DFT Algorithms – Analysis and Implementation,’ Tech. Rpt. 3606-12, SU-SEL-78-021, Stanford Electronics Laboratories, Stanford University, Stanford, CA, May, 1978.Google Scholar