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Infineon claims Hall sensor is a first for ASIL D systems

Tue, Jun 18, 2019

Infineon Technologies believes that the Xensiv TLE499913 is the industry’s first monolithically integrated linear Hall sensor developed entirely according to the safety standard ISO26262 for automotive applications.

The single sensor enables the development of fault-tolerant systems that have to meet the highest level of functional safety (ASIL D), says Infineon, such as electric steering systems, electric throttle control systems, and pedal applications.

ISO26262 requires a system to keep functioning even if a single fault occurs, or a single components fails. The TLE4999I3 allows uninterrupted operation at system level. It consists of a monolithic design with two independent Hall elements. Their signal paths are separate from each other and internal control mechanisms carry out a plausibility check of the sensor data already within the chip. The linear Hall sensor also provides extensive status information to the system.

In addition to functional safety, the TLE4999I3 also offers very high magnetic sensitivity with an error tolerance of less than two per cent. The offset error drift, another important parameter for magnetic sensors as it determines the absolute position in a magnetic field, is maximum 100 microT, or half that of comparable products, claims Infineon. The values of these parameters apply across the entire temperature range and lifetime of the product.

The TLE4999I3 allows two magnetic ranges of ±12.5 and 25mT to be adjusted. These low values allow the use of relatively small and, consequently, inexpensive magnets.

A PSI5 communication interface is a current interface, requiring little wiring and offering “an excellent electromagnetic performance” according to Infineon. The TLE4999I3 is suitable for applications in which it is connected to the control unit over large distances as it supports cable lengths up to 12m.

The TLE4999I3 sensor is supplied in a PG-SSO-3 package and is qualified according to AECQ100, Grade 0 for use in applications with ambient temperatures of 150 degrees C during average operational conditions.

Infineon will be exhibiting this and other sensor solutions at the Sensor+Test 2019 trade fair (Nuremberg, 25 to 27 June 2019) Hall 1 – booth 429.

http://www.infineon.com

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Renesas announces memory technology for AI

Mon, Jun 17, 2019

Renesas Electronics has developed an AI accelerator that performs convolutional neural network (CNN) processing at high speeds and low power. A test chip with this accelerator has achieved the power efficiency of 8.8Tera operations per second per W (TOPS/W), which is the industry’s highest class of power efficiency, reports Renesas. The accelerator is based on the processing-in-memory (PIM) architecture, in which multiply-and-accumulate (MAC) operations are performed in the memory circuit as data is read out from that memory.

To create the new AI accelerator, Renesas developed three technologies. The first is a ternary-valued (-1, 0, 1) SRAM structure PIM technology that can perform large-scale CNN computations. The second is an SRAM circuit to be applied with comparators that can read out memory data at low power. The third is a technology that prevents calculation errors due to process variations in the manufacturing. Together, these technologies achieve a reduction in the memory access time in deep learning processing and a reduction in the power required for the MAC operations. As a result, the accelerator achieves the industry’s highest class of power efficiency while maintaining an accuracy ratio more than 99 per cent when evaluated in a handwritten character recognition test (MNIST), claims Renesas.

Before this development, the PIM architecture was unable to achieve an adequate accuracy level for large-scale CNN computations with single-bit calculations because the binary (0,1) SRAM structure was only able to handle data with values 0 or 1. Additionally, process variations in the manufacturing reduced the reliability of these calculations. The technologies developed by Renesas resolve these issues and can be applied to implement AI chips of the future and e-AI solutions for applications such as wearable equipment and robots that require both performance and power efficiency, says Renesas.

Since introducing the embedded AI (e-AI) concept in 2015, Renesas has defined classes based on the effectiveness of e-AI and applications that are implemented and has been developing e-AI solutions based on four classes: judging the correctness or abnormality of signal waveform data; judging correctness or abnormality using real-time image processing; performing recognition in real time and enabling incremental learning at an endpoint.

https://www.renesas.com

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Multi-spectral imaging and AI enhances intelligence gathering

Mon, Jun 17, 2019

Condor MS, a long range oblique photography (LOROP) system by Elbit Systems, combines enhanced sensing capabilities and high capacity analytics. According to Elbit, it is “a step change in generating strategic targets”.

The system introduces multi-spectral (MS) sensing capability and artificial intelligence (AI) analytics to stand-off strategic intelligence gathering missions.

Three high resolution electro optic (EO) sensors are integrated into the company’s certified Condor2 system. These are visible and near infra-red (VNIR), medium-wave infra red (MWIR), and short wave infra red (SWIR). The combination of multi-spectral sensing, high level of stabilisation and auto image enhancement enables this Condor2 system to dramatically extend coverage area in day, night and adverse weather conditions to improve the strategic reconnaissance output and increase the survivability of the platforms. Deep learning algorithms and precise geo-location enable the Condor MS to identify a large number of targets at extremely high rates, which “significantly” shortens the time frame needed to close sensor-to-shooter loops, claims Elbit.

Elbit Systems has been the prime contractor in numerous LOROP programs based on the Condor family of systems, claimed to feature one of the smallest and lightest pods in the category. The Condor family of systems is integrated on board a variety of platforms, including the F-16 A/B/C/D/I, F-4, SU-30 and B-737.

Technology company, Elbit Systems, is engaged in a range of defence, homeland security and commercial programs throughout the world. The company operates aerospace, land, and naval systems, command, control, communications, computers, intelligence surveillance and reconnaissance (C4ISR), unmanned aircraft systems, advanced electro-optics, EO space systems, EW suites, signal intelligence systems, data links and communications systems, radios and cyber-based systems and munitions. It also upgrades existing platforms, developing new technologies for defence, homeland security and commercial applications and providing a range of support services, including training and simulation systems.

http://www.elbitsystems.com

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Rohde & Schwarz verifies 5G NR with mobile network testing

Thu, Jun 13, 2019

Field tests of 5G NR networks have been performed by Rohde & Schwarz, using commercially available 5G NR devices.

The field tests of network performance and quality from the end-user perspective on a live 5G NR network are an important step to verify that the 5G network performance supports the demanding technical requirements, says Rohde & Schwarz, and ensuring it delivers the required quality of experience (QoE) to the end user. The company’s mobile network testing solutions for engineering, site acceptance, optimization, benchmarking and monitoring offer the ability to conduct such measurements using commercially available smartphones.

The ultimate test is to verify that the required quality of experience (QoE) is delivered to subscribers by using real 5G devices in live networks. A complete 5G NR network’s operation can be tested using commercially available 5G devices such as the Samsung S10 5G, Xiaomi Mi Mix 3 5G, Oppo Reno 5G and the LG V50 ThinQ 5G phones. Rohde & Schwarz engineers have conducted first field tests in live 5G networks and measured key quality of service (QoS) and QoE parameters.

The quality and performance of 5G NR mobile networks can be tested by operators using commercially available user equipment and Rohde & Schwarz mobile network testing solutions such as the R&S QualiPoc smartphone-based optimiser, R&S ROMES4 universal network measurement software or R&S SmartBenchmarker network benchmarking software. These cover video streaming quality and app testing, providing detailed IP and RF trace data using a rooted phone, RF and voice and data testing with a standard commercial off-the-shelf (COTS) device with open diagnostic ports.

At 5G World 2019 in London (12 to 13 June, booth 5G401) Rohde & Schwarz will showcase its test solutions that accelerate the adoption of 5G, including device testing in FR1 and FR2, 5G NR network coverage and operation testing and intelligent QoE analytics.

Rohde & Schwarz supplies mobile network testing, with a diverse product portfolio for mobile operators, infrastructure vendors, testing service providers, installation companies and government regulators. Products address every test scenario in the network lifecycle – from basestation installation to network acceptance and network benchmarking, from optimisation and troubleshooting to interference hunting and spectrum analysis and from IP application awareness to QoS and QoE of voice, data, video and app-based services.

Rohde & Schwarz’s mobile network testing solutions provide hardware, software and resources for the mobile networking industry to efficiently deliver better services, while enabling suppliers to increase the value of their networks and products.

http://www.rohde-schwarz.com

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Infineon claims Hall sensor is a first for ASIL D systems

Renesas announces memory technology for AI

Multi-spectral imaging and AI enhances intelligence gathering

Rohde & Schwarz verifies 5G NR with mobile network testing

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