Automotive SerDes – Enabling better ADAS camera sensors

November 24th, 2021 | by Techgoondu
Automotive SerDes – Enabling better ADAS camera sensors

BY Hwee Yng Yeo

Brought to you by Keysight Technologies

The world of HDR cameras is no longer confined to providing visuals that pop, whether it is from your mobile phone or UHD TV screen.

Increasingly, high-performance cameras are enabling modern advanced driver assistance systems (ADAS) and autonomous vehicle (AV) applications.

For instance, Waymo’s 5th generation self-driving vehicle sports at least 29 cameras on board, in addition to five lidars, and six radars. 

The autonomous vehicle of the future will need to support a total bandwidth of anywhere between 3 to 40 GBit/s (~1.4 to 19 TB/h), with cameras generating the most data. 

In-vehicle network – zonal architecture

These various sensor types use different data rates in the backplane, and among the challenges automotive engineers face, is how to reduce the complexity of in-vehicle networking via zonal architecture.

Figure 2 is a simplified representation of zonal architecture: the different sensors types are aggregated into different zones, with the automotive Ethernet acting as an interconnect between each zone or domain. 

Growing role of automotive SerDES

Cameras sensors for ADAS need high data rate and transmission speeds to function as designed. Increasingly, developers are turning to serializer/deserializer (SerDes) connections to link these cameras to the vehicle’s image-processing electronic control units (ECUs), as shown by the light orange interconnections in Figure 2.

This SerDes connection converts parallel data to serial data (and vice-versa), enabling faster communication between devices using lower cost cables and connectors. 

Currently, SerDes solutions are delivered by individual vendors using closed, proprietary standards, but that is set to change.

The industry recognises that transparent and unified standards and test requirements will allow chip vendors, automotive Tier 1 suppliers, and car makers to accelerate their development cycle, lower costs, and improve interoperability with other commercial devices.

Already, the industry is addressing some immediate challenges for SerDes in-vehicle networking, such as validating interoperability between different media dependent interface (MDI) cables and connectors; integrity of transmitter, interconnection, and receiver performance; system robustness against various electromagnetic interferences (EMI); and network security from physical layer through the entire protocol stack.

Interoperability is a real concern. Transceivers are sensitive devices that must be thoroughly tested to ensure they can operate in the notoriously harsh automotive environment that includes heat, vibration, electro-static discharge (ESD), and EMI. Let’s look into some examples of transceiver testing.

Transmitter testing

In the case of the transmitter, we must ensure that the transmitted signal characteristic is good.

Figure 3 is an example of a car’s backup camera view with horizontal lines in it.  These lines are caused by gaps in the transmission, also known as dropped packets. The driver may still be able to see the image with a few dropped packets, but it would be disastrous for the transmission to blink black when a child should suddenly appear behind the reversing vehicle!

Multiple vendors are involved in enabling this safety feature: camera maker, cable vendor, and suppliers of the switch that routes the signal, likewise the GPU or ECU that processes the data, and not forgetting the brakes that ultimately need to stop the car. We can see why holistic interoperability is of paramount importance.  

Channel testing

In the ADAS camera system, the cable, connector, fixture, or harness connecting the cameras is called the link or channel. Link or channel testing is essential to ensure signal integrity is maintained between the transmitter and receiver. Given the cable lengths used in the harsh automotive environment, it’s crucial to look at impedance versus frequency, to predict how the channel will perform within the vehicle. 

A link segment comprises cables and inline connectors, along with mating connectors at either end. Ultimately, the wire harness is responsible for transporting control and payload data, as well as for providing DC power to remote sensors.

Channel characterisation for SerDes links consists of both time domain and frequency domain analysis. This requires looking at the cabling system, the MDI, and the fixturing and test setup requirements. 

The actual MDI connector is not standard, but there are some rigid specifications to help ensure that unwanted interactions between the MDI and cable are minimised. Figure 4 provides an example of an H-MTD connector that is being used for multi-gig automotive Ethernet, and could also be used for emerging SerDes standards. 

In channel tests, we need to look for errors such as impedance mismatch,  signal distortions or defects, and cross talk between the cables 

Receiver testing

Receivers are responsible for making sense of the data sent over the link, then passing it along for further processing in an ECU or display device. Bit errors at the receiver will result in lost or corrupted data coming from safety-critical sensors like camera, radar, and Lidar.  

Proper receiver functionality becomes increasingly difficult, especially when sent over long channels exposed to many simultaneous sources of noise. To characterise the receiver’s capabilities, we must measure error levels in the presence of multiple noise sources, including narrow band interference, bulk current injection, transients on-line, and alien cable bundle crosstalk  

The measurement setup can include noise sources, amplifiers, and coupling circuitry that allow precise levels of noise to be injected onto an active SerDes link.

The device under test (DUT) signal quality registers are then queried to verify whether the receiver could interpret symbols correctly in the presence of noise. The emphasis in receiver testing is to stress the receiver to ensure it can still maintain bit error (BER) rates. 


According to MarketsandMarkets, the global automotive camera, and integrated radar and camera market size is projected to grow to USD$10.1 billion by 2026, from US$6.1 billion in 2021. 

With more cameras and other sensors needed to ensure increased safety and enable the advancement of autonomous driving, it is vital that in-vehicle networks are tested to ensure interoperability, and performance criteria are met for their mission-critical functions. 

Hwee Yng Yeo is industry solutions manager for automotive and energy at Keysight Technologies

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