Joint carrier frequency offset and channel impulse response estimation for linear periodic channels. Shaked, R., Shlezinger, N., & Dabora, R. In *2017 25th European Signal Processing Conference (EUSIPCO)*, pages 868-872, Aug, 2017.

Paper doi abstract bibtex

Paper doi abstract bibtex

We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interference-limited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.

@InProceedings{8081331, author = {R. Shaked and N. Shlezinger and R. Dabora}, booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)}, title = {Joint carrier frequency offset and channel impulse response estimation for linear periodic channels}, year = {2017}, pages = {868-872}, abstract = {We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interference-limited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.}, keywords = {carrier transmission on power lines;channel estimation;computational complexity;frequency estimation;interference (signal);maximum likelihood estimation;transient response;linear periodic channels;joint estimation;CFO;noise statistics;interference-limited communications;power line communication;doubly selective channels;joint maximum likelihood estimator;estimation scheme;delay-Doppler spreading function;computational complexity;spectral efficiency;joint carrier frequency offset and channel impulse response estimation;CIR estimation;JMLE;Channel estimation;Computational complexity;Maximum likelihood estimation;Europe;Signal processing;Computational modeling}, doi = {10.23919/EUSIPCO.2017.8081331}, issn = {2076-1465}, month = {Aug}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342030.pdf}, }

Downloads: 0

{"_id":"CTPXvG8bByTHN4TfL","bibbaseid":"shaked-shlezinger-dabora-jointcarrierfrequencyoffsetandchannelimpulseresponseestimationforlinearperiodicchannels-2017","authorIDs":[],"author_short":["Shaked, R.","Shlezinger, N.","Dabora, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["R."],"propositions":[],"lastnames":["Shaked"],"suffixes":[]},{"firstnames":["N."],"propositions":[],"lastnames":["Shlezinger"],"suffixes":[]},{"firstnames":["R."],"propositions":[],"lastnames":["Dabora"],"suffixes":[]}],"booktitle":"2017 25th European Signal Processing Conference (EUSIPCO)","title":"Joint carrier frequency offset and channel impulse response estimation for linear periodic channels","year":"2017","pages":"868-872","abstract":"We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interference-limited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.","keywords":"carrier transmission on power lines;channel estimation;computational complexity;frequency estimation;interference (signal);maximum likelihood estimation;transient response;linear periodic channels;joint estimation;CFO;noise statistics;interference-limited communications;power line communication;doubly selective channels;joint maximum likelihood estimator;estimation scheme;delay-Doppler spreading function;computational complexity;spectral efficiency;joint carrier frequency offset and channel impulse response estimation;CIR estimation;JMLE;Channel estimation;Computational complexity;Maximum likelihood estimation;Europe;Signal processing;Computational modeling","doi":"10.23919/EUSIPCO.2017.8081331","issn":"2076-1465","month":"Aug","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342030.pdf","bibtex":"@InProceedings{8081331,\n author = {R. Shaked and N. Shlezinger and R. Dabora},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Joint carrier frequency offset and channel impulse response estimation for linear periodic channels},\n year = {2017},\n pages = {868-872},\n abstract = {We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interference-limited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.},\n keywords = {carrier transmission on power lines;channel estimation;computational complexity;frequency estimation;interference (signal);maximum likelihood estimation;transient response;linear periodic channels;joint estimation;CFO;noise statistics;interference-limited communications;power line communication;doubly selective channels;joint maximum likelihood estimator;estimation scheme;delay-Doppler spreading function;computational complexity;spectral efficiency;joint carrier frequency offset and channel impulse response estimation;CIR estimation;JMLE;Channel estimation;Computational complexity;Maximum likelihood estimation;Europe;Signal processing;Computational modeling},\n doi = {10.23919/EUSIPCO.2017.8081331},\n issn = {2076-1465},\n month = {Aug},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342030.pdf},\n}\n\n","author_short":["Shaked, R.","Shlezinger, N.","Dabora, R."],"key":"8081331","id":"8081331","bibbaseid":"shaked-shlezinger-dabora-jointcarrierfrequencyoffsetandchannelimpulseresponseestimationforlinearperiodicchannels-2017","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570342030.pdf"},"keyword":["carrier transmission on power lines;channel estimation;computational complexity;frequency estimation;interference (signal);maximum likelihood estimation;transient response;linear periodic channels;joint estimation;CFO;noise statistics;interference-limited communications;power line communication;doubly selective channels;joint maximum likelihood estimator;estimation scheme;delay-Doppler spreading function;computational complexity;spectral efficiency;joint carrier frequency offset and channel impulse response estimation;CIR estimation;JMLE;Channel estimation;Computational complexity;Maximum likelihood estimation;Europe;Signal processing;Computational modeling"],"metadata":{"authorlinks":{}},"downloads":0,"html":""},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2017url.bib","creationDate":"2021-02-13T16:38:25.608Z","downloads":0,"keywords":["carrier transmission on power lines;channel estimation;computational complexity;frequency estimation;interference (signal);maximum likelihood estimation;transient response;linear periodic channels;joint estimation;cfo;noise statistics;interference-limited communications;power line communication;doubly selective channels;joint maximum likelihood estimator;estimation scheme;delay-doppler spreading function;computational complexity;spectral efficiency;joint carrier frequency offset and channel impulse response estimation;cir estimation;jmle;channel estimation;computational complexity;maximum likelihood estimation;europe;signal processing;computational modeling"],"search_terms":["joint","carrier","frequency","offset","channel","impulse","response","estimation","linear","periodic","channels","shaked","shlezinger","dabora"],"title":"Joint carrier frequency offset and channel impulse response estimation for linear periodic channels","year":2017,"dataSources":["2MNbFYjMYTD6z7ExY","uP2aT6Qs8sfZJ6s8b"]}