Multi-Frequency Interference Detection and Mitigation Using Multiple Adaptive IIR Notch Filter with Lattice Structure

Radio Frequency Interferences (RFI), such as strong Continuous Wave (CWI), can influence the Quality of Service (QoS) communications, increasing Bit Error Rate (BER) and decreasing Signal-to-Noise Ratio (SNR) in any wireless transmission, including a Digital Video Broadcasting (DVB-S2) receiver. Therefore, this paper presents an algorithm for detecting mitigating Multi-tone Interference (MCWI) using Multiple Adaptive Notch Filter (MANF), based on lattice form structure. The (ANF) is constructed second-order IIR NF. approach consists developing robust low-complexity removing unknown MCWI. MANF model multistage model, with each stage consisting two ANFs: adaptive notch filter Hl(z) HN(z), which detect mitigate CWI. In ANF used estimating Jamming-to-Signal (JSR) frequency interference (w(0)) by LMS-based algorithm. depth then adjusted estimation JSR. contrast, HN(z) to CW interference. Simulation results show that proposed effective method eliminating/reducing effects MCWI, yields better system performance than full suppression (kN=1) low JSR values, mostly same high values. Moreover, track hopping provides error ratio compared case without filter.