Parameter estimation of frequency hopping signals based on analogue information converter. Issue 13 (1st August 2019)

• Record Type: Journal Article
• Authors: Zhi, Li; Jianhua, Zhou; Hao, Chen; Xu, Gou; Jian, Li
• Is Part Of: IET communications. Volume 13:Issue 13(2019)
• Page Start: 1886
• Page End: 1892
• Publication Date: 2019-08-01
• Subjects: compressed sensing -- frequency hop communication -- parameter estimation; frequency hopping signals -- parameter estimation algorithms -- Nyquist spectrum -- storage pressure -- baseband parameter estimation -- unreconstructed signal parameter estimates -- BPE method -- hardware implementation cost -- weak anti‐noise performance -- analogue information converter; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2019.0057
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : Aiming at the shortcomings of the existing frequency hopping signal parameter estimation algorithms based on compressed sensing theory, such as weak anti‐noise performance, high data transmission and processing, and high hardware implementation cost, this study proposes an improved frequency hopping signal parameter estimation algorithm based on analogue information converter called Baseband Parameter Estimation (BPE) method. BPE does not reconstruct the frequency hopping signal into the Nyquist spectrum, and after obtaining the support set of the signal, the parameter estimation of the frequency hopping signal is performed directly at the baseband. The processing of baseband spectral slices can convert unreconstructed signal parameter estimates into parameter estimates for certain support sets, which makes BPE possible. Simulation experiments show that compared with the existing parameter estimation algorithm, BPE can not only greatly reduce the bandwidth and storage pressure required for subsequent transmission, but also has good anti‐noise performance.