{"id":{"repo_id":"nus","oai_identifier":"oai:scholarbank.nus.edu.sg:10635/13708"},"canonical_url":"https://search.dev.ndltd.org/etd/nus/oai:scholarbank.nus.edu.sg:10635/13708","repository":{"repo_id":"nus","name":"National University of Singapore","base_url":"https://scholarbank.nus.edu.sg/oai/request"},"display":{"title":"Simulation study of frequency estimators","abstract":"We develop a frequency estimator employing Kalman filter algorithm for rapid online frequency estimation in both additive white Gaussian noise channel and static fading channel. A new measurement model is proposed, which can describe the phase noise more accurately, thus improves the performance by 4 dB in the initial acquisition stage. Simulations show that the proposed estimator is unbiased and efficient. The proposed frequency estimator can incorporate extra a priori information, thus provides superior performance compared to some Maximum Likelihood estimators available. In the static fading channel, diversity technique can be easily incorporated to improve the performance of the proposed frequency estimator.","abstract_html":"We develop a frequency estimator employing Kalman filter algorithm for rapid online frequency estimation in both additive white Gaussian noise channel and static fading channel. A new measurement model is proposed, which can describe the phase noise more accurately, thus improves the performance by 4 dB in the initial acquisition stage. Simulations show that the proposed estimator is unbiased and efficient. The proposed frequency estimator can incorporate extra a priori information, thus provides superior performance compared to some Maximum Likelihood estimators available. In the static fading channel, diversity technique can be easily incorporated to improve the performance of the proposed frequency estimator.","abstract_has_math":false,"creators":["WU QIONG"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2004,"date_issued":"2004-01-14","date_published":"2004-01-14","updated_at":"2026-07-24T03:31:51Z","subjects":["Kalman fitler, Frequency, Estimation, Synchronization, Fading channel, Additive white Gaussian noise channel"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["WU QIONG"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2004-01-14"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://scholarbank.nus.edu.sg/handle/10635/13708"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Kalman fitler, Frequency, Estimation, Synchronization, Fading channel, Additive white Gaussian noise channel"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://scholarbank.nus.edu.sg/bitstreams/e138162f-5e4f-464a-8d21-f54990e7eda3/download","https://scholarbank.nus.edu.sg/bitstreams/1a3e7675-cd83-43be-a3c0-6c3335a52edd/download","https://scholarbank.nus.edu.sg/bitstreams/68f0da56-ba49-44c9-8f82-03915e6abc08/download","https://scholarbank.nus.edu.sg/bitstreams/b0c5150c-1134-4ceb-8c64-fc06da0bdf47/download","https://scholarbank.nus.edu.sg/bitstreams/2c232c33-eed1-44c0-b98c-652053e8cbb9/download","https://scholarbank.nus.edu.sg/bitstreams/9e8f91c5-1aed-4ef8-87db-40096dcbe5eb/download","https://scholarbank.nus.edu.sg/bitstreams/d97c4097-b53f-4192-9505-0bfb2516a412/download","https://scholarbank.nus.edu.sg/bitstreams/aeb413a0-4ab4-4cfd-9af6-d0be983132bb/download","https://scholarbank.nus.edu.sg/bitstreams/7f757358-49cf-41c1-89e4-40c1fbc562dd/download"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["We develop a frequency estimator employing Kalman filter algorithm for rapid online frequency estimation in both additive white Gaussian noise channel and static fading channel. A new measurement model is proposed, which can describe the phase noise more accurately, thus improves the performance by 4 dB in the initial acquisition stage. Simulations show that the proposed estimator is unbiased and efficient. The proposed frequency estimator can incorporate extra a priori information, thus provides superior performance compared to some Maximum Likelihood estimators available. In the static fading channel, diversity technique can be easily incorporated to improve the performance of the proposed frequency estimator."]},{"key":"dc:format.checksum.md5","label":"Dc Format Checksum Md5","values":["4c38e9e6c2db5e8c8934f2c30232ce77","41d47f5fedd49954995a8a78d638cc5f","e055b726391876ecbafe16f908db553f","918d5f3e7822a13f5ca5e7627bb82349","904715edb84e9bd12bc80e93919af04e","70c88c786124891aaa01000c18fa9826","ca745e549d3546902beac55fc60e5875","22ec6b87e60c774195d96d4cbb3f948e","61fc1375670ca91c4db9cb647c4d5a2d","e343ad03eec0cfee89e4faa86b77c10a","b7a7a9e18df42b0382bb6b8ebf4073f2","aba8e439b1ef644801496997c66af5b5","86c3bb05b38196e995b43d13053ae1ae","96067d86ad5a6a06acc38f7f047a778b","8be0c967efa6dc3481098707c7149fb6","3f9a6607d82fafcc44099f9b77541a6d","523b7394bdc5f36e00f94a973793392c","318010850a823414e639cfcabc783013"]},{"key":"dc:title","label":"Title","values":["Simulation study of frequency estimators"]}]}],"canonical_facts":{"dc:creator":["WU QIONG"],"dc:date.issued":["2004-01-14"],"dc:description.abstract":["We develop a frequency estimator employing Kalman filter algorithm for rapid online frequency estimation in both additive white Gaussian noise channel and static fading channel. A new measurement model is proposed, which can describe the phase noise more accurately, thus improves the performance by 4 dB in the initial acquisition stage. Simulations show that the proposed estimator is unbiased and efficient. The proposed frequency estimator can incorporate extra a priori information, thus provides superior performance compared to some Maximum Likelihood estimators available. In the static fading channel, diversity technique can be easily incorporated to improve the performance of the proposed frequency estimator."],"dc:format.checksum.md5":["4c38e9e6c2db5e8c8934f2c30232ce77","41d47f5fedd49954995a8a78d638cc5f","e055b726391876ecbafe16f908db553f","918d5f3e7822a13f5ca5e7627bb82349","904715edb84e9bd12bc80e93919af04e","70c88c786124891aaa01000c18fa9826","ca745e549d3546902beac55fc60e5875","22ec6b87e60c774195d96d4cbb3f948e","61fc1375670ca91c4db9cb647c4d5a2d","e343ad03eec0cfee89e4faa86b77c10a","b7a7a9e18df42b0382bb6b8ebf4073f2","aba8e439b1ef644801496997c66af5b5","86c3bb05b38196e995b43d13053ae1ae","96067d86ad5a6a06acc38f7f047a778b","8be0c967efa6dc3481098707c7149fb6","3f9a6607d82fafcc44099f9b77541a6d","523b7394bdc5f36e00f94a973793392c","318010850a823414e639cfcabc783013"],"dc:identifier.uri":["https://scholarbank.nus.edu.sg/bitstreams/e138162f-5e4f-464a-8d21-f54990e7eda3/download","https://scholarbank.nus.edu.sg/bitstreams/1a3e7675-cd83-43be-a3c0-6c3335a52edd/download","https://scholarbank.nus.edu.sg/bitstreams/68f0da56-ba49-44c9-8f82-03915e6abc08/download","https://scholarbank.nus.edu.sg/bitstreams/b0c5150c-1134-4ceb-8c64-fc06da0bdf47/download","https://scholarbank.nus.edu.sg/bitstreams/2c232c33-eed1-44c0-b98c-652053e8cbb9/download","https://scholarbank.nus.edu.sg/bitstreams/9e8f91c5-1aed-4ef8-87db-40096dcbe5eb/download","https://scholarbank.nus.edu.sg/bitstreams/d97c4097-b53f-4192-9505-0bfb2516a412/download","https://scholarbank.nus.edu.sg/bitstreams/aeb413a0-4ab4-4cfd-9af6-d0be983132bb/download","https://scholarbank.nus.edu.sg/bitstreams/7f757358-49cf-41c1-89e4-40c1fbc562dd/download"],"dc:relation.isreferencedby":["https://scholarbank.nus.edu.sg/handle/10635/13708"],"dc:subject":["Kalman fitler, Frequency, Estimation, Synchronization, Fading channel, Additive white Gaussian noise channel"],"dc:title":["Simulation study of frequency estimators"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T03:31:51Z"}