Performance optimization of digital spectrum analyzer with Gaussian input signal

Hou, Yonghong and Liu, Guihua and Wang, Qing and Xiang, Wei (2013) Performance optimization of digital spectrum analyzer with Gaussian input signal. IEEE Signal Processing Letters, 20 (1). pp. 31-34. ISSN 1070-9908

Abstract

Analog to digital converters (ADC) and cascade integrator-comb (CIC) filters are the basic modules in a digital intermediate frequency (IF) spectrum analyzer. The optimal output signal-to-noise ratio (SNR) of the digital IF spectrum analyzer with the Gaussian input signal is considered in this letter. The idea is to strike a trade-off between the saturation error and granular error when quantizing the Gaussian input signal. This letter firstly derives a relationship among the maximum allowed input signal amplitude, input signal power, ADC quantization bits and optimal quantization SNR. Besides, an optimal clipping strategy for the CIC decimation filter with variable decimation rates is proposed. Both numerical and simulation results are presented to demonstrate that the proposed clipping method is able to achieve significant SNR gain compared with the traditional rounding or truncation method.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 1994-2012 IEEE. Permanent restricted access to published version on this website due to publisher copyright policy.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 20 Jan 2014 23:41
Last Modified: 09 Mar 2015 02:31
Uncontrolled Keywords: CIC filter; Gaussian distribution; quantization; spectrum analyzer; optimization; signal receivers
Fields of Research : 10 Technology > 1005 Communications Technologies > 100504 Data Communications
09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010303 Optimisation
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080205 Numerical Computation
Socio-Economic Objective: B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified
Identification Number or DOI: 10.1109/LSP.2012.2227255
URI: http://eprints.usq.edu.au/id/eprint/24569

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