Mobile Coherent Doppler LIDAR: Proposed Technologies for Scanning, Security and Wireless Communications GSFC at GISS Motivation:  The use of Coherent Doppler LIDAR (CDL) for wind sensing applications has been increasing over the past few years.  CDL are used for: 1.Wind energy operations 2.Wind shear 3.Weather predictions 4.Urban environmental forecasting  Current CDL have a high cost - this design is an all-fiber based CDL using a 1.5µm laser to reduce its cost and increase its reliability for various environmental conditions.  Measure aerosol concentration and wind velocities while being eye-safe, autonomous, low-cost and portable. System Configuration: System Overview: Laser Source:  CW Laser source is used to produce the local oscillator and to seed an optical amplifier Acousto-Optic Modulator/RF Circuit Driver/Optical Amplifier:  Electronic circuits drive the AOMs producing a train of 200 ns pulses shifted in frequency by 84 MHz and at a rep rate of 20 kHz.  These laser pulses are amplified and then transmitted through an optical circulator. Optical Circulator:  Directs outgoing or incoming signal. Heterodyne Detector:  Local oscillator and backscattered signals are mixed through an optical coupler. A/D FPGA:  Analog to digital converter card which is equipped with an on-board field programmable gate array to allow for real time signal processing. PC/Signal Processing:  Processes data using Matlab software. Coherent Doppler LIDAR configuration at City College Of New York in research vehicle. System Data: Direct LIDAR data: Coherent Doppler LIDAR data: Security/Communications: Goals:  Devise a way to enable remote data transfer.  Monitor temperature, A/C power supply; to prevent theft and vandalism. Solutions:  Wireless Ethernet Bridge can send and receive data up to 4 miles (line of sight) at speeds of 300 mbps while  Monitors temperature, A/C power failure. And unauthorized entry.  Alarm system sends text messages, s and app alerts. Automated Scanner: Goal:  To develop an instrument that can provide a 3-D model of wind velocity and aerosol volume. Solution:  Rotary actuator will provide horizontal movement.  Rotary motor will provide vertical movement.  Will be able to create a 3-D conical model of aerosol path and volume. A/C Power, Communication, and Alarm System Diagram Range corrected returns vs. time for the direct LIDAR system Signal intensity vs. time for coherent Doppler LIDAR system Vertical Wind velocity vs. time for coherent Doppler LIDAR system Scanner Calculations:   Where I is max permissible torque; m is the mass of the object; and r is the radius) Maximum angular acceleration:   Where α is angular acceleration; T is the max permissible torque; and I is the moment of inertia  Maximum angular acceleration is 3.29 rad/sec 2 Minimum time required to turn 45 o :   Where t is time; θ is the angle; and α angular acceleration.  Minimum required time to move 45 o is 0.69 seconds. Conclusion/Future Work:  The wireless Ethernet bridge will be installed to provide: I.Remote access to the Coherent Doppler LIDAR system. II.Transmit data from the mobile research lab to the host computer in the optical remote sensing lab in City College. III.Enable communication for the alarm system.  The alarm system will be installed to provide monitoring of: I.Temperature II.A/C power failure III.Unauthorized entry  The scanner is currently being designed using two motors with controllers, and two six inch mirrors.  The scanner will be synchronized with the Coherent Doppler LIDAR system using MATLAB to send the commands to the controller serially.  To represent the horizontal wind speed the motor controller and signal pre-processor will be synchronized to sample the atmosphere at three different angles; zenith and +/- 20 o from zenith. Acknowledgements: This internship was supported by City College; National Oceanic and Atmospheric Administration- Cooperative Remote Sensing Science and Technology Center (NOAA-CREST); NASA Curriculum Improvements Partnership Award for the Integration of Research (NASA CIPAIR); NASA New York City Research Initiative (NYCRI); and NASA Goddard Institute for Scientific Studies (NASA-GISS). I would also like to thank Miguel Lopez Ph. D. student, Dr. Mark Arend, and Dr. Fred Moshary for their support and guidance. I would also like to thank the staff at Hostos Community College who nominated me and worked hard so that I could receive this internship. Proposed Scanner Diagram Kane Vinson, Miguel Lopez Ph.D. Student, Dr. Mark Arend, Dr. Fred Moshary