Compensation of Sampling Jitter Effect in Radio Frequency Sub-Sampling Receiver
Subsampling receivers are able to down convert signals from radio frequency (RF) to a lower frequency by exploiting intentional aliasing. The implementation of subsampling method in Software Defined Radio (SDR) reduces the sampling frequency requirement in Analog to Digital Converter (ADC).However,...
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| 格式: | Thesis |
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2015
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| 總結: | Subsampling receivers are able to down convert signals from radio frequency (RF) to a lower frequency by exploiting intentional aliasing. The implementation of subsampling method in Software Defined Radio (SDR) reduces the sampling frequency requirement in Analog to Digital Converter (ADC).However, this method suffer from sampling jitter effect. Since SDR is operating in high RF, small sampling jitter in ADC will inflict a large amount of error. The existing method in literature for estimating the sampling jitter is mainly focused on external training tone, where a known tone is first mixed with the incoming signal, then extracted to estimate the sampling jitter information. Although the usage of training tone is good but the disadvantage of this is that it requires extra hardware support, which is not encouraged in the case of SDR. In this thesis, a new method is proposed to estimate the instantaneous jitter without any aid from external training tone, providing a full digital signal processing alternative solution to the problem. The proposed method applies Taylor series expansion to the received signal, in which the sampling jitter effect can then be identified as the sum of the derivative terms in the expansion. An effective procedure is carried out to extract the derivative terms for jitter estimation. Using the estimated jitter values, the jitter effects can be compensated to reduce its effect. Simulation results show that the effect of sampling jitter can be reduced effectively for the given set of jitter rms. |
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