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Conference Paper Design of Reliable Digital Navigation Signal Generator with Adaptive LMS Equalizer Implemented in FPGA
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Authors
Seunghwa Jung, Kahee Han, Seongjun Kim, Tae Hee Kim, Sanguk Lee, Yoola Hwang
Issue Date
2026-04
Citation
Pacific Positioning Navigation and Timing (PNT) Meeting 2026, pp.258-271
Publisher
Institute of Navigation
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.33012/2026.20576
Abstract
An adaptive least-mean square (LMS)-based equalizer based on finite impulse response (FIR) filters implemented in an FPGA is essential in modern communication and navigation satellites. A navigation payload and their functional modules consisting of a navigation signal transmitter, must perform the reliable generation of navigation signals even in a very harsh space environment. The aim of adaptive signal processing is to adapt the digital FIR filter passing the distorted signal to filter out the output signal that is subtracted from the desired input signal. This paper presents an algorithm structure and hardware simulation results for analysis of the adaptive LMS-based Fractionally Spaced Equalizer (FSE) for a reliable digital navigation signal transmitter. The results show the LMS-based FSE structure can provide fast and effective compensated legacy GPS baseband signals.
KSP Keywords
Algorithm structure, Digital FIR filter, Finite-impulse response(FIR), Fractionally spaced equalizer, Hardware simulation, Input signal, Least Mean Square(LMS), Navigation satellite, Navigation signal, Signal Generator, Signal transmitter