Abstract:
In this paper, we address the problem of unknown phase offset estimation between receivers in a multi-channel receiver system. Unknown relative phase offset between the r...Show MoreMetadata
Abstract:
In this paper, we address the problem of unknown phase offset estimation between receivers in a multi-channel receiver system. Unknown relative phase offset between the receivers is a concern in such systems as it negatively impacts the performance of the system. In this work, we propose a least squares ellipse fit algorithm to estimate the phase offset between the receivers. We verify the performance of the algorithm against various SNR values through Monte Carlo simulations. We also compare the variance of the phase offset estimation error with CRLB.
Published in: 2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)
Date of Conference: 16-18 December 2013
Date Added to IEEE Xplore: 27 January 2014
Electronic ISBN:978-1-4799-1319-0
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- IEEE Keywords
- Index Terms
- Least-squares ,
- Phase Offset ,
- Ellipse Fitting ,
- Phase Offset Estimation ,
- Least-squares Ellipse ,
- Monte Carlo Simulation ,
- Performance Of Algorithm ,
- Error Variance ,
- Signal-to-noise Ratio Values ,
- Multichannel System ,
- Cramer-Rao Lower Bound ,
- Estimation Error Variance ,
- Root Mean Square Error ,
- Signal-to-noise ,
- Simulation Results ,
- Average Deviation ,
- Variance Estimates ,
- Average Error ,
- Phase Difference ,
- Reverse Phase ,
- Average Estimation Error ,
- Numerical Stability ,
- Minimization Problem ,
- Signal Points ,
- Specific Constraints ,
- Signal Samples
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Least-squares ,
- Phase Offset ,
- Ellipse Fitting ,
- Phase Offset Estimation ,
- Least-squares Ellipse ,
- Monte Carlo Simulation ,
- Performance Of Algorithm ,
- Error Variance ,
- Signal-to-noise Ratio Values ,
- Multichannel System ,
- Cramer-Rao Lower Bound ,
- Estimation Error Variance ,
- Root Mean Square Error ,
- Signal-to-noise ,
- Simulation Results ,
- Average Deviation ,
- Variance Estimates ,
- Average Error ,
- Phase Difference ,
- Reverse Phase ,
- Average Estimation Error ,
- Numerical Stability ,
- Minimization Problem ,
- Signal Points ,
- Specific Constraints ,
- Signal Samples
- Author Keywords