An Efficient Iterative Algorithm for Finding the Minimum Sampling Frequency of Multiple Bandpass Signals
碩士 === 國立交通大學 === 電機與控制工程系所 === 97 === In this thesis, we propose an efficient iterative algorithm for finding the minimum sampling frequency for a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to downconvert multiple band...
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/93679544263986424077 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 97 === In this thesis, we propose an efficient iterative algorithm for finding the minimum sampling frequency for a signal that consists of multiple bandpass signals. This finds important application in software radio where it is desirable to downconvert multiple bandpass signals simultaneously. We will derive a new set of conditions for alias-free sampling for signals that contain two bandpass signals. The conditions can be easily examined with few computations. The minimum sampling frequency can be found by iteratively increasing the sampling frequency to meet the alias-free conditions. We will show how the algorithm can be extended to find the minimum sampling frequency for signals that consist of more than two bandpass signals. Furthermore we will generalize the result to the case when a guard band is required between different bandpass signals after sampling. The simulations demonstrate that the proposed method has a much lower complexity than existing algorithms.
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