On the effect of random snapshot timing jitter on the covariance matrix for JADE estimation. Bazzi, A., Slock, D. T. M., & Meilhac, L. In *2015 23rd European Signal Processing Conference (EUSIPCO)*, pages 2611-2615, Aug, 2015.

Paper doi abstract bibtex

Paper doi abstract bibtex

In this paper, we focus on joint multipath angle and delay estimation (JADE) in an OFDM communication setting. We analyse the effect of Gaussian random snapshot (OFDM symbol) timing jitter on the spatio-frequency sample covariance matrix containing delay and direction information. This sample covariance matrix is an input to the JADE and many other algorithms for signal parameter estimation. The analysis suggests a simple way to compensate for the jitter in the sample covariance matrix. We also present two simple methods for estimating the jitter variance, allowing its compensation. These techniques attempt to restore the low rank nature or other structure in the signal contribution. We then finally present some simulations for the resulting estimation quality of the multipath delays (ToAs) and angles (AoAs) of the incoming signals.

@InProceedings{7362857, author = {A. Bazzi and D. T. M. Slock and L. Meilhac}, booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)}, title = {On the effect of random snapshot timing jitter on the covariance matrix for JADE estimation}, year = {2015}, pages = {2611-2615}, abstract = {In this paper, we focus on joint multipath angle and delay estimation (JADE) in an OFDM communication setting. We analyse the effect of Gaussian random snapshot (OFDM symbol) timing jitter on the spatio-frequency sample covariance matrix containing delay and direction information. This sample covariance matrix is an input to the JADE and many other algorithms for signal parameter estimation. The analysis suggests a simple way to compensate for the jitter in the sample covariance matrix. We also present two simple methods for estimating the jitter variance, allowing its compensation. These techniques attempt to restore the low rank nature or other structure in the signal contribution. We then finally present some simulations for the resulting estimation quality of the multipath delays (ToAs) and angles (AoAs) of the incoming signals.}, keywords = {covariance matrices;delay estimation;direction-of-arrival estimation;jitter;OFDM modulation;signal restoration;time-of-arrival estimation;JADE estimation;onjoint multipath angle and delay estimation;OFDM communication;Gaussian random snapshot timing jitter;spatiofrequency sample covariance matrix;signal parameter estimation;signal contribution;ToA;AoA;time-of-arrival estimation;angle-of-arrival estimation;Covariance matrices;OFDM;IEEE 802.11 Standard;Timing jitter;Europe;Snapshot timing jitter;perturbed sample covariance matrix;JADE;ToA;DoA;matrix rank minimization}, doi = {10.1109/EUSIPCO.2015.7362857}, issn = {2076-1465}, month = {Aug}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570104921.pdf}, }

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