Time‐domain approach for LFM signal parameter estimation based on FPGA. Issue 13 (1st June 2018)

• Record Type: Journal Article
• Authors: Zhang, Peng; Wang, Ping; Cheng, Julian
• Is Part Of: Electronics letters. Volume 54:Issue 13(2018)
• Page Start: 846
• Page End: 848
• Publication Date: 2018-06-01
• Subjects: frequency modulation -- field programmable gate arrays -- time‐domain analysis -- parameter estimation -- signal processing; time 250.0 ns -- LFM signal parameter estimation -- time‐domain approach -- processing time -- mono‐component LFM signal -- slope fitting accuracy -- estimation time -- digital signal processing -- estimation methods -- frequency values -- improved time‐domain counting method -- basic time slice -- average frequency value -- linear frequency modulation signal -- parameter estimation method -- FPGA; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2018.1103
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : An FPGA‐based parameter estimation method for linear frequency modulation (LFM) signal is proposed. The average frequency value of basic time slice is obtained by using improved time‐domain counting method. Then, frequency values are used for the least‐squares fitting, so as to obtain the sweep rate of LFM signal. Compared to estimation methods based on digital signal processing, the proposed approach can effectively reduce the estimation time. Experimental results show that the slope fitting accuracy of mono‐component LFM signal is better than 99.8% and the processing time is <250 ns.