Performance optimization of digital spectrum analyzer with Gaussian input signal

Hou, Yonghong, Liu, Guihua, 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.

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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.

Item ID: 43316
Item Type: Article (Research - C1)
ISSN: 1558-2361
Keywords: CIC filter, Gaussian distribution, quantization, spectrum analyzer
Funders: National Natural Science Foundation of China (NNSFC), Ministry of Education of China (MEC)
Projects and Grants: NNSFC grant no. 60972054, NNSFC grant no. 61101223, MEC grant no. 20110032120087
Date Deposited: 24 Feb 2016 07:47
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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