Design of Reliable Digital Navigation Signal Generator with Adaptive LMS Equalizer Implemented in FPGA

Seunghwa Jung, Kahee Han, Seongjun Kim, Tae Hee Kim, Sanguk Lee, Yoola Hwang

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.
Published in:	Proceedings of the ION 2026 Pacific PNT Meeting April 13 - 16, 2026 Hilton Waikiki Beach Honolulu, Hawaii
Pages:	258 - 271
Cite this article:	Jung, Seunghwa, Han, Kahee, Kim, Seongjun, Kim, Tae Hee, Lee, Sanguk, Hwang, Yoola, "Design of Reliable Digital Navigation Signal Generator with Adaptive LMS Equalizer Implemented in FPGA," Proceedings of the ION 2026 Pacific PNT Meeting, Honolulu, Hawaii, April 2026, pp. 258-271. https://doi.org/10.33012/2026.20576
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