Abstract
Since the coprime discrete time fractional Fourier transform (DTFrFT) spectral receiver can effectively intercept low probability of interception signals and its output shows favorable spectral characteristics in the discrete time fractional Fourier domain (DTFrFD), this paper presents an intrapulse modulation recognition method in the DTFrFD to process the coprime DTFrFT spectral receiver’s output data, consisting of two banks, namely coarse recognition and fine recognition. The coarse recognition returns a coarse classification for the shift keying signals [binary phase shift keying (BPSK) and binary frequency shift keying (BFSK)] from the linear frequency modulation (LFM) and polyphase coded signals (Frank code, P1 code, P2 code, P3 code, P4 code) by addressing the optimal transformation order of the intercepted data in DTFrFD. In the fine recognition algorithm, the ridge line extraction function and the peak energy ratio function in the DTFrFD are defined to identify BPSK signals from BFSK signals and distinguish LFM signals and polyphase-coded signals. Compared to conventional recognition approaches in the Fourier domain, the proposed recognition method is always more efficient because it utilizes more spectral characteristics of the output data in the DTFrFD. Both theoretical analysis and simulation results demonstrate that the proposed algorithm shows better robustness and better recognition performance than the original coprime digital Fourier transform spectral receiver against SNR variation.
Similar content being viewed by others
Abbreviations
- AF:
-
Ambiguity function
- BFSK:
-
Binary frequency shift keying
- BPSK:
-
Binary phase shift keying
- DFT:
-
Digital Fourier transform
- DSFrFT:
-
Digital simplified fractional Fourier transform
- DTFrFD:
-
Discrete time fractional Fourier domain
- DTFrFT:
-
Discrete time fractional Fourier transform
- FrFD:
-
Fractional Fourier domain
- LFM:
-
Linear frequency modulation
- LPI:
-
Low probability of interception
- PERF:
-
Peak energy ratio function
- RLEF:
-
Ridge line extraction function
- RSR:
-
Ratio of successful recognition
- SNR:
-
Signal-to-noise ratio
References
T. Alieva, M.J. Bastiaans, On fractional Fourier transform moments. IEEE Signal Process. Lett. 7(11), 320–323 (2000)
L.B. Almeida, The fractional Fourier transform and time-frequency representations. IEEE Trans. Signal Process. 42(11), 3084–3091 (1994)
J.A. Alzubi, O.A. Alzubi, T.M. Chen, Forward Error Correction Based on Algebraic-Geometric Theory (Springer, London, 2014)
M. Burgos-Garcia, J. Sanmartin-Jara, F. Perez-Martinez, Radar sensor using low probability of interception ss-fh signals. Aerospace Electron. Syst. Mag. IEEE. 15(4), 23–28 (2000)
L. Cohen, Time-frequency distributions-a review. Proc. IEEE 77(7), 941–981 (1989)
W.C. Fei, L. Bai, Auto-regressive models of non-stationary time series with finite length. Tsinghua Sci. Technol. 10(2), 162–168 (2005)
F.G. Geroleo, M. Brandt-Pearce, Detection and estimation of lfmcw radar signals. IEEE Trans. Aerosp. Electron. Syst. 48(1), 405–418 (2012)
M.A. Govoni, H. Li, J.A. Kosinski, Low probability of interception of an advanced noise radar waveform with linear-fm. IEEE Trans. Aerosp. Electron. Syst. 49(2), 1351–1356 (2013)
B.M. Hamschin, J.D. Ferguson, M.T. Grabbe, Interception of multiple low-power linear frequency modulated continuous wave signals. IEEE Trans. Aerosp. Electron. Syst. 53(2), 789–804 (2017)
G.B. Hu, L.Z. Xu, S.F. Xu, Intrapulse modulation recognition of signals based on statistical test of energy focusing efficiency. J. Commun. 34(6), 136–145 (2013)
X.M. Li, H.L. Wang, W.H. Lv, Sensing fractional power spectrum of nonstationary signals with coprime filter banks. Complexity 6, 1–17 (2020)
B.A. Luis, The fractional Fourier transform and time-frequency representations. IEEE Trans. Signal Process. 42(11), 199–208 (1994)
X.R. Ma, D. Liu, Y.L. Shan, Intra-pulse modulation recognition using short-time Ramanujan Fourier transform spectrogram. EURASIP J. Adv. Signal Process. 42(6), 1–11 (2017)
P.R. Milne, P.E. Pace, Wigner distribution detection and analysis of fmcw and p4 polyphase lpi waveforms. IEEE Int. Conf. Acoust. Speech Signal Process. 15(4), 3944–3947 (2002)
M. Naghmash, G. Abed, Fundamentals of mobile communication systems (Scholars’ Press, Georgia, 2018)
A. Papoulis, Principles of high-resolution radar (McG raw-Hill, New York, 1969)
A. Papoulis, Signal analysis (McGraw-Hill, New York, 1977)
S.C. Pei, J.J. Ding, Simplified fractional Fourier transforms. J. Opt. Soc. Am. Opt. Image Sci. Vis. 17(12), 2355–2367 (2000)
S. Samadi, M.N.M.O. Ahmad, Ramanujan sums and discrete Fourier transforms. IEEE Signal Process Lett. 12(4), 293–296 (2005)
A. Sholiyi, J. Alzubi, O. Alzubi, Near capacity irregular turbo code. Indian J. Sci. Technol. 8(23), 974–984 (2015)
L. Sugavaneswaran, S. Xie, K. Umapathy, Time-frequency analysis via Ramanujan sums. IEEE Signal Process Lett. 19(6), 352–355 (2012)
R. Tao, Y.L. Li, Y. Wang, Short-time fractional Fourier transform and its applications. IEEE Trans. Signal Process. 58(5), 2568–2580 (2010)
R. Torres, E. Torres, Fractional Fourier analysis of random signals and the notion of \(\alpha \) -stationarity of the Wigner–Ville distribution. IEEE Trans. Signal Process. 61(6), 1555–1560 (2013)
P.P. Vaidyanathan, Sparse sensing with co-prime samplers and arrays. IEEE Trans. Signal Process. 59(2), 573–586 (2011)
C. Wang, J. Wang, T. Zhang, Operational modal analysis for slow linear time-varying structures based on moving window second order blind identification. Signal Process. 39(133), 169–186 (2017)
H. Wang, L. Qi, F. Zhang. Parameters estimation of the lfm signal based on the optimum seeking method and fractional Fourier transform (2011). Paper presented at the 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, 2331–2334
P.M. Woodward, Probability and information theory with application to radar (Pergamon, London, 1953)
L. Zheng, X.G. Xia, A distributed differentially encoded ofdm scheme for asynchronous cooperative systems with low probability of interception. IEEE Trans. Wireless Commun. 8(7), 3372–3379 (2009)
Funding
This research was funded by the National Natural Science Foundation of China Grant number 61271354 and the Henan Province Science and Technology Key Project Grant number 232102211071.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that there are no conflicts of interest, and they do not have any possible conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Li, X., Wang, H. & Zhang, Z. An Intrapulse Modulation Recognition Method for Low Probability of Interception Signals Based on the Coprime DTFrFT Spectral Receiver. Circuits Syst Signal Process 43, 1319–1337 (2024). https://doi.org/10.1007/s00034-023-02510-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00034-023-02510-3