HomeEngineering Projects For YouDirect Time−of−Flight Depth Sensing Reference Design

Direct Time−of−Flight Depth Sensing Reference Design

The design utilizes Time-to-Digital Converter signal processing for depth sensing, enabling LiDAR ecosystem partners to develop their applications with depths up to 23 meters.

Direct Time−of−Flight Depth Sensing Reference Design

LiDAR, or Light Detection And Ranging, stands out as a premier technology for depth sensing, surpassing other methods due to its exceptional depth and angular resolution. Its effectiveness in all lighting conditions is attributed to its active methodology, which involves using an infrared light transmitter and a receiver. This technology generally employs the direct Time of Flight (dToF) measurement technique, which calculates the time delay between a transmitted signal and its return echo(es). Another method used is the indirect time-of-flight (iToF). Both dToF and iToF approaches can utilize pulsed or continuous modulation. This versatility has led to LiDAR’s widespread adoption in numerous markets, finding diverse applications in the automotive, industrial, robotics, and consumer augmented and virtual reality (AR/VR) sectors.

The direct time−of−flight depth sensing reference design from Onsemi uses a Time-to-Digital Converter (TDC) signal processing method featuring multi-shot histogram outputs for depth extraction. This design has been crafted to enable customers and partners within the LiDAR ecosystem to effectively utilize the company’s products and system solutions as a foundation for developing their designs.

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Following the photon’s return, LiDAR system signal chains can employ Analog-to-Digital Converters (ADCs) or Time-to-Digital Converters (TDCs) to convert the detected laser echoes into digital form. Systems based on ADCs enable full pulse digitization, offering extra details about the target, such as reflectivity, which can be deduced from the pulse shape. In contrast, TDC-based systems provide cost and power benefits, as their discrimination circuits are simpler to implement. Additionally, TDC methods are well-suited for narrow pulse-width lasers, allowing for higher peak power per pulse while remaining within eye safety limits.

The design package includes a laser transmitter, optics, sensor, and a readout receive chain complete with FPGA code. It is designed to measure depths ranging from 1 to 23 meters, offering a convenient and integrated solution for LiDAR applications.

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The transmission component of this system utilizes an OSRAM SPL PL 90_3, 905 nm laser diode to emit laser pulses towards a target. A MicroRB−10010−MLP−TR reference SiPM within the transmit lens detects the outgoing laser pulse, generating the initial signal for the Time-to-Digital Converter (TDC). On the receiving end, another MicroRB−10010−MLP−TR SiPM captures the reflected pulse. An amplification stage is integrated to detect low-intensity reflections, with the amplified signal providing the stop signal for the TDC.

The TDC functionality is embedded within an FPGA and timestamps the start and stop signals. Depth calculation to the target is achieved through histogram processing on the FPGA. The SiPM dToF LiDAR Reference Platform also includes a graphical user interface, enabling users to visualize histogram data and configure the laser rangefinder for single or multi-shot modes. Additionally, the GUI facilitates the adjustment of the SiPM sensitivity by modifying its bias voltage.

Onsemi has tested this reference design. It comes with a Bill of Material (BOM), schematics, etc. You can find additional data about the reference design on the company’s website.

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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