Title

An Adaptive Filtering Algorithm To Compensate For Frequency-Dependent Image Interference In Practical Wireless Receivers

Keywords

adaptive filter; complex Taylor series expansion; Frequency-dependent image interference; non-data-aided

Abstract

Frequency-dependent image interference is an inevitable impairment in wideband quadrature receivers. To suppress this interference, this paper presents a non-data-aided adaptive compensation algorithm, optimal block adaptive filtering algorithm based on circularity (OBA-C). This technique exploits the concept that the image interference in wireless systems causes the received complex signal to lose its nature of circularity. Then the OBA-C algorithm restores the circularity of the signal to compensate for the image interference. To avoid manually selecting a step size, the presented algorithm employs the complex Taylor series expansion to optimally update the adaptive filter coefficients. This technique fully exploits the degrees of freedom of the system, and generates an individual update for each filter coefficient at each iteration. Computer simulations are carried out to test the performance of the OBA-C for practical levels of image interference. The simulation results illustrate that the OBA-C achieves fast convergence and excellent image rejection performance. Other advantages of OBA-C are also analyzed, including the robustness against radio frequency impairments and different levels of image interference. © 2013 World Scientific Publishing Company.

Publication Date

6-1-2013

Publication Title

Journal of Circuits, Systems and Computers

Volume

22

Issue

5

Number of Pages

-

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1142/S0218126613500308

Socpus ID

84877688490 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84877688490

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