JLHS: A Joint Linear Frequency Modulation and Hyperbolic Frequency Modulation Approach for Speed Measurement

In the waveform design, the distance measurement and resolution are a pair of irreconcilable contradictions. Linear Frequency Modulation (LFM) can alleviate this contradiction. LFM is widely used in radar and sonar, however, its Doppler tolerance is not ideal. Hyperbolic Frequency Modulation (HFM) signal has a particularly strong tolerance towards Doppler frequency shift. When the unidirectionally modulated HFM signal is in distance measurement, the Doppler delay of the matched filtering output cannot be eliminated, and there is a ranging error. After matched filtering of the positive and negative frequency modulation (HFM+LFM) echo signal based on the same frequency band, the Doppler-induced delay is the same but opposite in direction, and the delay is closely related to the frequency, bandwidth, and pulse width of the transmitted signal. By using the inverse time delay difference of the positive and negative frequency modulation, the ranging error in the ranging of unidirectionally modulated LFM signal can be eliminated. In this paper, a Joint Linear frequency modulation and Hyperbolic frequency modulation approach for Speed measurement (JLHS) is proposed, which employs the same frequency band of positive and negative frequency modulation signals for speed measurement and ranging. Extensive simulation results show that the proposed approach can better estimate the speed and distance of moving targets, and it has reference value for engineering application.

[1]  Georgios B. Giannakis,et al.  Improved estimation of hyperbolic frequency modulated chirp signals , 1999, IEEE Trans. Signal Process..

[2]  Brian D. Rigling,et al.  Efficient design of radar waveforms for optimised detection in coloured noise , 2012 .

[4]  Yuanxin Xu,et al.  Doppler estimation and timing synchronization of underwater acoustic communication based on hyperbolic frequency modulation signal , 2015, 2015 IEEE 12th International Conference on Networking, Sensing and Control.

[5]  Hyoung-Nam Kim,et al.  Robust LFM Target Detection in Wideband Sonar Systems , 2017, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Robert Been,et al.  Target Doppler estimation using wideband frequency modulated signals , 2000, IEEE Trans. Signal Process..

[7]  R. Salamon,et al.  Continuous wave sonar with hyperbolic frequency modulation keyed by pseudo-random sequence , 2016 .

[8]  Lan Zhang,et al.  HFM spread spectrum modulation scheme in shallow water acoustic channels , 2012, 2012 Oceans.

[9]  P. Millot,et al.  Through the wall MIMO radar detection with stepped frequency waveforms , 2010, The 7th European Radar Conference.

[10]  Min-Sang Kim,et al.  HFM design for timing synchronization in underwater communications systems , 2017, OCEANS 2017 - Aberdeen.

[11]  Ning Han,et al.  An Improved Velocity Estimation Method for Wideband Multi-Highlight Target Echoes in Active Sonar Systems , 2018, Sensors.

[12]  Edward L. Titlebaum,et al.  A class of frequency hop codes with nearly ideal characteristics for use in multiple-access spread-spectrum communications and radar and sonar systems , 1992, IEEE Trans. Commun..

[13]  Wei Sun,et al.  A method of velocity estimation using composite hyperbolic frequency-modulated signals in active sonar. , 2017, The Journal of the Acoustical Society of America.

[14]  A. Zadok,et al.  Long Microwave-Photonic Variable Delay of Linear Frequency Modulated Waveforms , 2012, IEEE Photonics Technology Letters.

[15]  Shengli Zhou,et al.  Range Bias Modeling for Hyperbolic-Frequency-Modulated Waveforms in Target Tracking , 2012, IEEE Journal of Oceanic Engineering.

[16]  Paul R. White,et al.  Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals , 2012, IET Signal Process..

[17]  Qihu Li Digital Sonar Design in Underwater Acoustics , 2012 .

[18]  Jian Yang,et al.  ISAR Imaging Based on the Wideband Hyperbolic Frequency-Modulation Waveform , 2015, Sensors.

[19]  T.K. Sarkar,et al.  A New Doppler-Tolerant Polyphase Pulse Compression Codes Based on Hyperbolic Frequency Modulation , 2007, 2007 IEEE Radar Conference.

[20]  Lutz H.-J. Lampe,et al.  Choosing the right signal: Doppler shift estimation for underwater acoustic signals , 2012, WUWNet.

[21]  Ki-Man Kim,et al.  Underwater communication with amplitude-hyperbolic frequency modulation , 2014, 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN).

[22]  Bin Deng,et al.  High resolution range profile analysis based on multicarrier phase-coded waveforms of OFDM radar , 2011 .

[23]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[24]  Yongzhen Li,et al.  Some results on characteristics of bistatic high-range resolution profiles for target classification , 2012 .

[25]  Ning Han,et al.  Iterative matching-based parameter estimation for time-scale underwater acoustic multipath echo , 2020 .

[26]  Acceleration-invariant pulse compression using hyperbolic frequency modulated waveforms , 2006, 2006 International Waveform Diversity & Design Conference.

[27]  K. Raja Rajeswari,et al.  Target Detection with Cross Ambiguity Function using Binary Sequences with high Discrimination , 2011 .

[28]  Meng Zhou,et al.  Hyperbolic frequency modulation for multiple users in underwater acoustic communications , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[29]  Zemin Zhou,et al.  Optimal Waveform Design Using Frequency-Modulated Pulse Trains for Active Sonar , 2019, Sensors.

[30]  Hugh Griffiths,et al.  Improved ultra-low range sidelobe pulse compression waveform design , 2004 .

[31]  Mark-Anthony Govoni,et al.  Linear Frequency Modulation of Stochastic Radar Waveform , 2011 .

[32]  Qi Lin,et al.  A novel LPI radar signal based on hyperbolic frequency hopping combined with Barker phase code , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..

[33]  J. Kroszczynski Pulse compression by means of linear-period modulation , 1969 .

[34]  F. Gini,et al.  Parameter estimation of hybrid hyperbolic FM and polynomial phase signals using the multi-lag high-order ambiguity function , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[35]  M. Luszczyk,et al.  Sidelobe level reduction for complex radar signals with small base , 2012, 2012 13th International Radar Symposium.