Performance optimization of digital spectrum analyzer with Gaussian input signal
Article
Article Title | Performance optimization of digital spectrum analyzer with Gaussian input signal |
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ERA Journal ID | 4438 |
Article Category | Article |
Authors | Hou, Yonghong (Author), Liu, Guihua (Author), Wang, Qing (Author) and Xiang, Wei (Author) |
Journal Title | IEEE Signal Processing Letters |
Journal Citation | 20 (1), pp. 31-34 |
Number of Pages | 4 |
Year | 2013 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISSN | 1070-9908 |
1558-2361 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/LSP.2012.2227255 |
Web Address (URL) | https://ieeexplore.ieee.org/abstract/document/6353151 |
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. |
Keywords | CIC filter; Gaussian distribution; quantization; spectrum analyzer; optimization; signal receivers |
ANZSRC Field of Research 2020 | 400602. Data communications |
400607. Signal processing | |
490304. Optimisation | |
461399. Theory of computation not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Tianjin University, China |
Department of Electrical, Electronic and Computer Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q237w/performance-optimization-of-digital-spectrum-analyzer-with-gaussian-input-signal
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