To facilitate low-power operation, this paper has proposed a novel method for wavelet filter design in analog domain. For the purpose of physical implementation, the wavelet base is approximated by rational function, in which a mathematical approximation model is constructed and the quantum genetic algorithm is used to solve the optimization problem. Then, the fellow-the-leader-feedback filter structure is employed to synthesize the approximated analog wavelet base. The Marr wavelet is selected as an example to illustrate the design process. A seventh-order Marr wavelet filter is designed using SMIC 0.18μm CMOS technology. Simulation results show that the proposed method can give a stable analog wavelet filter with high approximation accuracy and low power consumption.
{"title":"Design of Wavelet Filter in Analog Domain Using Quantum Genetic Algorithm","authors":"Yuzhen Zhang, Wenshan Zhao","doi":"10.1145/3481113.3481117","DOIUrl":"https://doi.org/10.1145/3481113.3481117","url":null,"abstract":"To facilitate low-power operation, this paper has proposed a novel method for wavelet filter design in analog domain. For the purpose of physical implementation, the wavelet base is approximated by rational function, in which a mathematical approximation model is constructed and the quantum genetic algorithm is used to solve the optimization problem. Then, the fellow-the-leader-feedback filter structure is employed to synthesize the approximated analog wavelet base. The Marr wavelet is selected as an example to illustrate the design process. A seventh-order Marr wavelet filter is designed using SMIC 0.18μm CMOS technology. Simulation results show that the proposed method can give a stable analog wavelet filter with high approximation accuracy and low power consumption.","PeriodicalId":112570,"journal":{"name":"2021 3rd International Symposium on Signal Processing Systems (SSPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Time Modulated Array (TMA) can extract each harmonic component from the array output signal and estimate direction of arrival (DOA) using a small number of receiving channels by introducing a high-speed radio frequency (RF) switch. In this paper, a vector sensor receiving model is proposed firstly. Then, DOAs of circular and non-circular mixed signals are distinguished based on the diversely polarized TMA. In the case of a large number of array elements in the diversely polarized array, this method can still estimate DOAs accurately by using fewer receiving channels. The simulation results verify DOA estimation performance of the proposed method.
{"title":"Direction of Arrival Estimation for Noncircular Signals Using a Diversely Polarized Time Modulated Array","authors":"Hao Li, Zhiwen Liu, Yougen Xu","doi":"10.1145/3481113.3481114","DOIUrl":"https://doi.org/10.1145/3481113.3481114","url":null,"abstract":"Time Modulated Array (TMA) can extract each harmonic component from the array output signal and estimate direction of arrival (DOA) using a small number of receiving channels by introducing a high-speed radio frequency (RF) switch. In this paper, a vector sensor receiving model is proposed firstly. Then, DOAs of circular and non-circular mixed signals are distinguished based on the diversely polarized TMA. In the case of a large number of array elements in the diversely polarized array, this method can still estimate DOAs accurately by using fewer receiving channels. The simulation results verify DOA estimation performance of the proposed method.","PeriodicalId":112570,"journal":{"name":"2021 3rd International Symposium on Signal Processing Systems (SSPS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121565401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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