Miniaturized radar sensors supporting next generation UAVs

In the area of security and safety applications, we are investigating the potential impact of emerging communications technologies for public safety. Cognitive radio is being studied for enhanced interoperability and availability of communication systems in EU-wide multi-national operational scenario. Sensor networks are being studied for surveillance of sensitive public areas. In the design domain, we investigate radio frequency (RF) threats and interference in communication and navigation systems. These can have serious impact on intelligent transportation systems and next generation ICT systems. Vulnerabilities of next generation information communications systems are being studied as the architectures of next generation networks (NGN) are emerging and new relevant standards are being defined.

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Next generation radar sensors in automotive sensor fusion systems

2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF) ◽

10.1109/sdf.2017.8126389 ◽

2017 ◽

Cited By ~ 25

Author(s):

Josef Steinbaeck ◽

Christian Steger ◽

Gerald Holweg ◽

Norbert Druml

Keyword(s):

Sensor Fusion ◽

Next Generation ◽

Fusion Systems ◽

Radar Sensors

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Next generation integrated SiGe mm-wave circuits for automotive radar sensors

International Journal of Microwave and Wireless Technologies ◽

10.1017/s1759078712000736 ◽

2013 ◽

Vol 5 (1) ◽

pp. 43-48

Author(s):

Nils Pohl ◽

Herbert Knapp ◽

Christian Bredendiek ◽

Rudolf Lachner

Keyword(s):

Output Power ◽

Tuning Range ◽

Supply Voltage ◽

Frequency Doubler ◽

Next Generation ◽

Automotive Radar ◽

Wide Tuning Range ◽

Radar Sensors ◽

Frequency Dividers

In this paper, radar transmitter circuits for next generation automotive radar sensors are presented. A 79 GHz radar transmitter with an output power of 14.5 dBm consuming only 165 mA (including frequency dividers) from a 3.3 V supply voltage clearly shows the advantage of using an improved SiGe technology with an fmax of 380 GHz. In addition, two radar transmitters for higher frequencies (around 150 GHz) based on frequency doubler circuits are showing the potential of SiGe technologies. The first transmitter achieves an output power of 3 dBm (single ended) at 144 GHz, whereas the second transmitters delivers a differential output power of 0 dBm at 150 GHz. Both transmitters achieve an ultra-wide tuning range of about 45 GHz.

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Automotive Radar and Lidar Systems for Next Generation Driver Assistance Functions

Advances in Radio Science ◽

10.5194/ars-3-205-2005 ◽

2005 ◽

Vol 3 ◽

pp. 205-209 ◽

Cited By ~ 96

Author(s):

R. H. Rasshofer ◽

K. Gresser

Keyword(s):

Data Fusion ◽

Measurement Errors ◽

Sensor Data ◽

Next Generation ◽

Driver Assistance ◽

Automotive Radar ◽

Ability To Work ◽

Radar Sensors ◽

Sensor Models ◽

Typical Measurement

Abstract. Automotive radar and lidar sensors represent key components for next generation driver assistance functions (Jones, 2001). Today, their use is limited to comfort applications in premium segment vehicles although an evolution process towards more safety-oriented functions is taking place. Radar sensors available on the market today suffer from low angular resolution and poor target detection in medium ranges (30 to 60m) over azimuth angles larger than ±30°. In contrast, Lidar sensors show large sensitivity towards environmental influences (e.g. snow, fog, dirt). Both sensor technologies today have a rather high cost level, forbidding their wide-spread usage on mass markets. A common approach to overcome individual sensor drawbacks is the employment of data fusion techniques (Bar-Shalom, 2001). Raw data fusion requires a common, standardized data interface to easily integrate a variety of asynchronous sensor data into a fusion network. Moreover, next generation sensors should be able to dynamically adopt to new situations and should have the ability to work in cooperative sensor environments. As vehicular function development today is being shifted more and more towards virtual prototyping, mathematical sensor models should be available. These models should take into account the sensor's functional principle as well as all typical measurement errors generated by the sensor.

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