Design of AFDM Waveform Encryption for LEO Satellite Networks

Low Earth orbit (LEO) satellite downlinks broadcast over wide ground footprints, exposing Earth-observation and remote-sensing sensor data to passive eavesdropping. Affine frequency division multiplexing (AFDM) is a candidate waveform for the doubly dispersive LEO channel and a natural integrated sensing and communication (ISAC) waveform whose delay–Doppler structure supports target parameter estimation; yet existing secure-AFDM schemes act only in the discrete affine Fourier transform (DAFT) parameter domain, leaving the transmitted waveform structurally recognizable. To address this gap, this paper applies time-domain waveform obfuscation to AFDM as physical layer encryption. Using a secret key, the transmitter permutes the inverse-DAFT samples and applies a phase rotation before chirp-periodic-prefix generation; the mask is unitary, so the peak-to-average power ratio is preserved exactly, and the key-holding receiver retains AFDM’s full delay–Doppler sensing capability, while a no-key receiver obtains a dense composite response that destroys target localization (sensing concentration drops from 0 dB to −16.6 dB). Secret pilot phases enable channel estimation at the legitimate receiver while blocking a naive composite-channel attack. Simulations at N=64 and 128 show that a wrong-key eavesdropper achieves uncoded BER within 0.01 of 0.5 across 0–20 dB and that blind Viterbi–Viterbi phase recovery is no more effective under QPSK (BER 0.46–0.48), while the legitimate SNR penalty stays below 0.5 dB. The mask also suppresses AFDM’s internal structure to the AWGN level under AFDM-aware processing. Time-domain obfuscation offers a complementary physical-layer security layer for confidential LEO remote-sensing data downlink and ISAC waveforms.

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Publication Details

Journal
Sensors
Published
2026-08-20
DOI
https://doi.org/10.3390/s26165282
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Design of AFDM Waveform Encryption for LEO Satellite Networks

Muzi Yuan, Honglei Lin, Xiaomei Tang, Chunjiang Ma et al.
Sensors
Satellite Communication Systems
article

Design of AFDM Waveform Encryption for LEO Satellite Networks

Muzi Yuan, Honglei Lin, Xiaomei Tang, Chunjiang Ma, Meiting Yu, Pengcheng Ma
article en

Abstract

Low Earth orbit (LEO) satellite downlinks broadcast over wide ground footprints, exposing Earth-observation and remote-sensing sensor data to passive eavesdropping. Affine frequency division multiplexing (AFDM) is a candidate waveform for the doubly dispersive LEO channel and a natural integrated sensing and communication (ISAC) waveform whose delay–Doppler structure supports target parameter estimation; yet existing secure-AFDM schemes act only in the discrete affine Fourier transform (DAFT) parameter domain, leaving the transmitted waveform structurally recognizable. To address this gap, this paper applies time-domain waveform obfuscation to AFDM as physical layer encryption. Using a secret key, the transmitter permutes the inverse-DAFT samples and applies a phase rotation before chirp-periodic-prefix generation; the mask is unitary, so the peak-to-average power ratio is preserved exactly, and the key-holding receiver retains AFDM’s full delay–Doppler sensing capability, while a no-key receiver obtains a dense composite response that destroys target localization (sensing concentration drops from 0 dB to −16.6 dB). Secret pilot phases enable channel estimation at the legitimate receiver while blocking a naive composite-channel attack. Simulations at N=64 and 128 show that a wrong-key eavesdropper achieves uncoded BER within 0.01 of 0.5 across 0–20 dB and that blind Viterbi–Viterbi phase recovery is no more effective under QPSK (BER 0.46–0.48), while the legitimate SNR penalty stays below 0.5 dB. The mask also suppresses AFDM’s internal structure to the AWGN level under AFDM-aware processing. Time-domain obfuscation offers a complementary physical-layer security layer for confidential LEO remote-sensing data downlink and ISAC waveforms.

SensorsVol. 26(16)
National University of Defense Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Satellite Communication Systems
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