Photonics-Based Radar-Lidar Integrated System for Multi-Sensor Fusion Applications

A photonics-based radar-lidar integrated system is proposed, which consists of a photonics-based radar and a frequency-modulated continuous-wave (FMCW) lidar. Since the photonic generation of RF signals is used, the transmitter can simultaneously generate linear frequency-modulated (LFM) radio-frequency (RF) and optical signals. Meanwhile, similar data acquisition methods are shared by the radar and lidar subsystems because FMCW ranging method is used in both of them. In the integrated system, the lidar subsystem provides high-resolution 3D images and velocity distributions, while the radar subsystem can implement real-time imaging with high frame rates. An experiment is carried out, in which a system consisting of a K-band radar and a 1550-nm FMCW lidar is used. The bandwidth of the radar and lidar subsystems are 8-GHz and 4-GHz. The standard deviations of displacements between the measured and the expected distances are 0.342 cm and 0.997 cm for the radar and lidar subsystems, respectively. For multi-sensor fusion applications, the 3D image and velocity distribution of a static cardboard and a spinning disk are obtained by the lidar subsystem, while the inverse synthetic aperture (ISAR) imaging for the spinning disk is achieved by the radar subsystem. Since some parts of the system are shared by the lidar and radar subsystems, the integrated system has a compact configuration, which is a potential configuration of the on-chip radar-lidar fusion system. Moreover, the performance of the lidar and radar subsystems are higher than the commonly used radar-lidar fusion system, which can be further enhanced by sophisticated data fusion algorithms.

[1]  Filippo Scotti,et al.  Photonics for Radars Operating on Multiple Coherent Bands , 2016, Journal of Lightwave Technology.

[2]  N. Patrikalakis,et al.  Predicting Millimeter Wave Radar Spectra for Autonomous Navigation , 2010, IEEE Sensors Journal.

[3]  Fabrizio Berizzi,et al.  A fully photonics-based coherent radar system , 2014, Nature.

[4]  Guoqiang Zhang,et al.  Photonics-based broadband radar for high-resolution and real-time inverse synthetic aperture imaging. , 2017, Optics express.

[5]  R. German,et al.  Multi-sensor data fusion in automotive applications , 2008, 2008 3rd International Conference on Sensing Technology.

[6]  Daiyin Zhu,et al.  Photonics-based real-time and high-resolution ISAR imaging of non-cooperative target , 2017 .

[7]  Christian Steger,et al.  Next generation radar sensors in automotive sensor fusion systems , 2017, 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

[8]  Robert Weigel,et al.  A CDMA Modulation Technique for Automotive Time-of-Flight LiDAR Systems , 2017, IEEE Sensors Journal.

[9]  M. P. McCormick,et al.  Lidar detection of leads in Arctic sea ice , 1989, Nature.

[10]  Filippo Scotti,et al.  Frequency-agile dual-frequency lidar for integrated coherent radar-lidar architectures. , 2015, Optics letters.

[11]  Kevin Chetty,et al.  On the Application of Digital Moving Target Indication Techniques to Short-Range FMCW Radar Data , 2018, IEEE Sensors Journal.

[12]  Miao Wang,et al.  Radar/Lidar sensor fusion for car-following on highways , 2011, The 5th International Conference on Automation, Robotics and Applications.

[13]  Guoqing Zhou,et al.  Design of a CMOS ROIC for InGaAs Self-Mixing Detectors Used in FM/cw LADAR , 2017, IEEE Sensors Journal.

[14]  K. Feigl,et al.  The displacement field of the Landers earthquake mapped by radar interferometry , 1993, Nature.

[15]  Randy R. Reibel,et al.  LADAR: Frequency-Modulated, Continuous Wave LAser Detection And Ranging , 2017 .

[16]  Hajime Okamoto,et al.  Development of a multiple-field-of-view multiple-scattering polarization lidar: comparison with cloud radar. , 2016, Optics express.

[17]  M. Amann,et al.  Laser ranging: a critical review of usual techniques for distance measurement , 2001 .

[18]  Guang Meng,et al.  Accurate and Robust Displacement Measurement for FMCW Radar Vibration Monitoring , 2018, IEEE Sensors Journal.

[19]  Achim J. Lilienthal,et al.  A comparative analysis of radar and lidar sensing for localization and mapping , 2019, 2019 European Conference on Mobile Robots (ECMR).

[20]  Filippo Scotti,et al.  Multi-Frequency Lidar/Radar Integrated System for Robust and Flexible Doppler Measurements , 2015, IEEE Photonics Technology Letters.

[21]  Ryan Close,et al.  Fusion of lidar and radar for detection of partially obscured objects , 2015, Defense + Security Symposium.

[22]  S. Pan,et al.  Simultaneous Real-Time Ranging and Velocimetry via a Dual-Sideband Chirped Lidar , 2017, IEEE Photonics Technology Letters.

[23]  M. Scaffardi,et al.  Microwave photonics for Integrated multifrequency lidar / radar system , 2015, 2015 Opto-Electronics and Communications Conference (OECC).

[24]  Kyongsu Yi,et al.  A Geometric Model based 2D LiDAR/Radar Sensor Fusion for Tracking Surrounding Vehicles , 2019, IFAC-PapersOnLine.

[25]  Charles K. Toth Sensor integration in airborne mapping , 2002, IEEE Trans. Instrum. Meas..

[26]  Shilong Pan,et al.  Chip-based photonic radar for high-resolution imaging , 2019 .

[27]  Alan Naughton,et al.  Photonic Integrated Circuit-Based FMCW Coherent LiDAR , 2018, Journal of Lightwave Technology.

[28]  Brent Schwarz,et al.  LIDAR: Mapping the world in 3D , 2010 .

[29]  Ralph Helmar Rasshofer,et al.  Automotive Radar and Lidar Systems for Next Generation Driver Assistance Functions , 2005 .

[30]  Shilong Pan,et al.  Photonics-based radar with balanced I/Q de-chirping for interference-suppressed high-resolution detection and imaging , 2019, Photonics Research.