Interference Mitigation Based on HFrFT for Integrated Sensing and Communication

被引：0
作者：
Mousavi, Mohammad Reza [1 ]
Ludwig, Stephan [1 ]
机构：
[1] Aalen Univ Appl Sci, Aalen, Germany
来源：
2024 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING, MEDITCOM 2024 | 2024年
关键词：
Hyperbolic fractional Fourier transform; interference mitigation; integrated sensing and communication; DISCRETE FRACTIONAL FOURIER; TIME-FREQUENCY-DISTRIBUTIONS; OFDM SYSTEMS; JOINT COMMUNICATION; TRANSFORM; SUPPRESSION; DESIGN;
D O I：
10.1109/MeditCom61057.2024.10621151
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The hyperbolic fractional Fourier transform (HFrFT) which is a novel generalized form of fractional Fourier transform (FrFT) based on complex transform orders is formulated. The definition of continuous-time hyperbolic fractional Fourier transform (CHFrFT) and its fundamental properties are mathematically extracted. The model of the multicarrier signal based on HFrFT in the presence of a pulse train interference is expressed. Then the modification of the signal coordinates based on HFrFT and its relation to Wigner transform (WT) is discussed. The performance of the proposed transform in wireless communication systems is evaluated based on the bit error rate (BER) analysis. The simulation result shows that the HFrFT signal can mitigate interference in integrated sensing and communication (ISAC) applications.
引用
收藏
页码：203 / 208
页数：6
相关论文
共 36 条
[1]   THE FRACTIONAL FOURIER-TRANSFORM AND TIME-FREQUENCY REPRESENTATIONS [J].
ALMEIDA, LB .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (11) :3084-3091
[2]   The discrete fractional Fourier transform [J].
Candan, Ç ;
Kutay, MA ;
Ozaktas, HM .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (05) :1329-1337
[3]   TIME FREQUENCY-DISTRIBUTIONS - A REVIEW [J].
COHEN, L .
PROCEEDINGS OF THE IEEE, 1989, 77 (07) :941-981
[4]   Discrete Fractional Fourier Transforms Based on Closed-Form Hermite-Gaussian-Like DFT Eigenvectors [J].
de Oliveira Neto, Jose R. ;
Lima, Juliano B. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (23) :6171-6184
[5]   Joint Communication and Sensing Toward 6G: Models and Potential of Using MIMO [J].
Fang, Xinran ;
Feng, Wei ;
Chen, Yunfei ;
Ge, Ning ;
Zhang, Yan .
IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (05) :4093-4116
[6]  
Gabor Szego., 1975, ORTHOGONAL POLYNOMIA
[7]   Suppression of Cross-Channel Interference Based on the Fractional Fourier Transform in Polarimetric Radar [J].
He, Mi ;
Nian, Yongjian ;
Li, Yongzhen ;
Xiao, Shunping ;
Liu, Zhihui .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (06) :1473-1477
[8]   Real Discrete Fractional Fourier, Hartley, Generalized Fourier and Generalized Hartley Transforms With Many Parameters [J].
Hsue, Wen-Liang ;
Chang, Wei-Ching .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2015, 62 (10) :2594-2605
[9]   Symbol Error Probability Analysis of DFrFT-Based OFDM Systems With CFO and STO in Frequency Selective Rayleigh Fading Channels [J].
Kumar, Atul ;
Magarini, Maurizio .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (01) :64-81
[10]   Sliding 2D Discrete Fractional Fourier Transform [J].
Liu, Yu ;
Miao, Hongxia ;
Zhang, Feng ;
Tao, Ran .
IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (12) :1733-1737
1234