NXP drives forward with radar sensor SDK

Radar signal processing algorithms in NXP’s Premium Radar software development kit (SDK) enable developers to enhance radar system performance. It leverages tight coupling of NXP’s software algorithms with its S32R4x radar processor family for improved safety and differentiation. The proprietary radar algorithm library allows quick integration of proven algorithms into radar sensor applications, helping to speed radar sensor development and reduce R&D investment, said NXP. 

The initial release, expected to be available for evaluation during 2022, includes three algorithm packages for interference mitigation, MIMO waveform optimisation and angular resolution enhancement.

Radar is increasingly used in vehicle applications like automated emergency braking and adaptive cruise control. In addition, legislation and regulations mandate more demanding features for blind-spot detection, turn assistant, front and rear cross-traffic and people detection, requiring more radar nodes per vehicle. Another contributor is the consumer demand for a safer and more comfortable driving experience which is accelerating the transition to L2+, offering comfort features close to L3 autonomous driving, said NXP. 

In about five years, cars will carry twice as many radar sensors as today, and over 90 per cent of the radar sensors will be emitting in the same 77 to 79GHz band. 

“We expect the triple acceleration of automotive radar to continue over the next decade, with more cars equipped with radar sensors, an increasing number of sensor nodes per car and more performant sensors being deployed,” said Huanyu Gu, director product marketing and business development ADAS, NXP. For vehicle OEMs and Tier 1 suppliers, this “poses a need for interference mitigation, MIMO waveform optimisation and augmented sensor resolution,” he explained. NXP’s Premium Radar SDK’s advanced algorithms aim to address all these challenges, enabling customers to optimally leverage the S32R4x radar processor hardware, he added.

Optimised MIMO waveforms enable radar sensors with higher resolution and longer reach in modulation schemes which allow more transmitters to operate simultaneously. They code the individual transmit antenna signals to ensure they can be differentiated on the receiver side. Higher resolution sensors are used for both corner and front radar applications to support more accurate object separation and classification for use cases such as vulnerable road user detection or park assist functions. 

The Premium Radar SDK implementation complies with International Automotive Quality Management standards IATF 16949:2016 and ASPICE Level 3 requirements. 

NXP offers OEM and Tier 1 suppliers two evaluation options under an evaluation license agreement. The MATLAB-based version delivers the algorithms as compiled code to allow developers to understand what the SDK does by feeding customer test vectors, computing and visualising the output vectors. Providing bit accuracy, the microcontroller-based evaluation option includes the algorithm binary files to run on the NXP target radar processor evaluation board and demonstrates the real time performance of the SDK.

http://www.nxp.com

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dSpace expands radar test with automated validation and calibration

Automatic end of line (EoL) testing from dSpace includes automated validation and calibration of radar sensors. The latest dSpace automotive radar test systems (DARTS) was developed in co-operation with product development specialist, Noffz Technologies. 

The EoL test system is based on the compact antenna test range (CATR) method, which uses a parabolic reflector to generate a plane wavefront. This enables the calibration of sensors with a large far-field distance in a compact set-up which requires only a small footprint compared to conventional direct far-field test systems. 

In the low-reflection absorber chamber, the radar sensor is calibrated with the support of the integrated radar target simulator. This is done in a pre-defined test sequence, during which the radar sensors are rotated around their radiation centre in both the horizontal and vertical directions. 

The test system is suitable for the calibration of modern radar sensors, such as 4D radars and imaging radars.

The small system allows manufacturers to validate and calibrate sensors during production, explained Dr Andreas Himmler, senior product manager for automotive radar solutions at dSpace. 

The company will be presenting the EoL test bench at European Microwave Week (stand 115), at the ExCel Centre, London, UK from 04 to 06 April 2022.

dSpace provides simulation and validation solutions worldwide for developing networked, autonomous and electrically powered vehicles. The company’s products are used by automotive manufacturers and their suppliers to test the software and hardware components in new vehicles before a new model is allowed on the road. As well as vehicle development, engineers use dSpace expertise for aerospace and industrial automation for simulation and validation to engineering and consulting services, training and support. 

dSpace is headquartered in Paderborn, Germany, has three project centres in Germany and serves customers through regional dSpace companies in the USA, the UK, France, Japan, China, Croatia, and South Korea.

http://www.dspace.de

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Smart mobility computing operates in automotive temperature range

Vehicle computing technology for smart mobility has been introduced by congatec, at Intertraffic Amsterdam (29 March – 01 April).

The rugged vehicle computing platforms are designed to simplify and accelerate digitisation and autonomous driving in harsh environments such as transportation, logistics, construction, and agriculture. The computing platforms target the next generation of real-time 5G connected, unmanned, functionally safe vehicles and systems designed for digitising the mobility kinematics of existing fleets. The goal is to provide accurate orientation data to improve situational awareness and to optimise the movement and operation of autonomous vehicles, said congatec.

Mobility OEMs and their Tier 1 suppliers must tackle a variety of tasks when designing the next generation of smart autonomous mobility controllers, advised congatec. The first is to integrate vision and other sensors for gathering situational raw data, and to implement data pre-processing and AI to improve data analytics. They also need to design controller logic for autonomous vehicle movement and operation. In addition, the systems need 5G network sliced device connectivity for vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication. An added complication is that all of this needs to be implemented with real-time capabilities and functional safety. 

One focus for congatec at Intertraffic Amsterdam, will be the Intel Xeon D processor-based COM-HPC server modules for edge servers in autonomous railway applications and 5G wayside equipment. Another is the 12th Gen Intel Core processor-based COM‑HPC client and COM Express modules for smart vehicle gateways and vehicle network controllers. There is also an application-ready, Intel Atom processor-based, real time kinematic platform by congatec’s partner Etteplan.

This is based on congatec Computer-on-Modules and features an RTK-enabled GNSS unit with accelerometer, gyroscope and magnetometer. It is designed for automotive voltage ranges up to 36V. It supports a wide operating temperature range of -40 to +85 degreesC and provides IP65 / IP67 protection. 

For vehicle communication network connectivity, it offers extensions for real-time Ethernet (TSN), RS232, RS485 and CAN. Further edge connectivity options include Wi-Fi and Bluetooth as well as LTE/5G. There are also ambient pressure, humidity and temperature sensors.

The platform is available as a prototype that can be ordered immediately for engineering purposes. For larger quantities, customisation is possible on a project basis. The standard system platform is scheduled to go into series production in the second half of 2022.

http://www.congatec.com 

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Kioxia samples universal flash storage for automotive designs

Automotive universal flash storage (UFS) version 3.1 embedded flash memory devices have been introduced by Kioxia Europe. The UFS has a serial interface allowing it to support full duplexing, which enables both concurrent reading and writing between the host processor and UFS device.

The UFS memory devices are based on the company’s BiCS Flash 3D flash memory and are available in a range of capacities from 64 to 512Gbyte. They are, says the company, designed to support the requirements of evolving automotive applications for driver experiences.

Storage requirements for automotive applications continue to increase as infotainment systems and advanced driver assistance systems (ADAS) become more sophisticated, explained Axel Störmann, vice president Memory Marketing & Engineering, Kioxia Europe.

The latest UFS memories support a wide temperature range of -40 to +105 degrees C and meet AEC-Q100 Grade 2 requirements.

Both the sequential read and sequential write performance of the Automotive UFS Version 3.1 device are improved by approximately 2.2x and 6x, respectively, compared with the previous generation devices. These performance gains contribute to faster system start-up and OTA (over the air) updates, added Kioxia.

Sample shipments of the 256, 128 and 64Gbyte devices will start today, with the 512Gbyte devices to ship in April. 

Read and write speeds are the best values obtained in a specific test environment at Kioxia. Read and write speeds may vary depending on the device used and file size read or written, cautioned the company.

Kioxia Europe (formerly Toshiba Memory Europe) is the European-based subsidiary of Kioxia, a supplier of flash memory and solid-state drives (SSDs). Kioxia can trace its expertise from the invention of flash memory to today’s breakthrough BiCS Flash. The company’s innovative 3D flash memory technology, BiCS Flash, is shaping the future of storage in high-density applications, including advanced smartphones, PCs, SSDs, automotive and data centres. 

http://www.kioxia.com 

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