Hybrid Lidar-radar Receiver for Underwater Imaging Applications Navy SBIR FY2008.1 Sol No.: Navy SBIR FY2008.1 Topic No.: N08-032 Topic Title: Hybrid Lidar-radar Receiver for Underwater Imaging Applications Proposal No.: N081-032-0509 Firm: SA Photonics 650 5th Street Suite 505 San Francisco, California 94107-1540 Contact: James Coward Phone: (415) 977-0553 Web Site: www.saphotonics.com Abstract: SA Photonics is pleased to propose a program to develop a highly sensitive receiver for hybrid lidar-radar applications. The receiver, named MILOS_RX, incorporates precision time-of-flight and RF carrier phase measurement which are both critical in hybrid lidar-radar applications. The SA Photonics hybrid lidar-radar receiver leverages the coherent RF performance of the Modulated Imaging Laser Optical Source Transmitter (MILOS_TX) program (contract #: N68335-07-C-0920 ) which demonstrated phase locking to better than 1 ps. Leveraging the MILOS_TX technology will allow precision carrier phase measurement of the receive signal. The design allows for high accuracy processing on a single pulse or multiple pulses. Autonomous self calibration ensures extremely high temperature stability. Furthermore, the MILOS_RX will be co-packaged with the MILOS_TX resulting in extremely high size efficiency. Benefits: The MILOS_RX incorporates a state-of-the-art photodetector which has very low noise, large active area, wide dynamic range, and wide bandwidth enabling high sensitivity detection of potential threat targets. The MILOS_RX has excellent pulse time-of-flight distance resolution and target texture resolution. This performance enables excellent discrimination from background clutter and precision characterization of the target surface improving probability of detection and reducing false alarm rate. The design of the MILOS_RX ensures the excellent distance resolution is maintained over the operating environment and lifetime. The MILOS_RX utilizes advanced digital signal processing to enable the majority of the circuitry to be hosted in a single chip. This minimizes systems size, weight, power and cost. Return