“…Typically, short range radars require high range resolution so ultra wide band sensors are commonly found in these applications (Rollmann, 2004, Gresham 2004). If cost-effective 24 GHz ISM band operation is desired, legal restrictions varying from country to country have to be taken into account.…”
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.
“…Typically, short range radars require high range resolution so ultra wide band sensors are commonly found in these applications (Rollmann, 2004, Gresham 2004). If cost-effective 24 GHz ISM band operation is desired, legal restrictions varying from country to country have to be taken into account.…”
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.
“…Additionally, using this method, it is necessary to turn on the oscillator throughout the data communication process, resulting in large power consumption. Furthermore, since the pulse generators mentioned above are realized using SiGe integrated circuits [1] or discrete components [2,3], 22-29GHz pulse generator using CMOS is still challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Although 22-29GHz SR radar sensor systems have already been demonstrated, due to their inefficiency in terms of cost, they are not accepted by the automotive market for widespread use. For the effective public benefit only cost-effective radar sensor solutions are efficacious [1]. In conventional pulse-radar systems, a pulse-train output is generated by controlling a continuous-wave (CW) input using a pulse-width control switch [2], where the output pulse envelope has a rectangular shape.…”
The pseudo millimeter wave 22-29GHz ultra-wideband (UWB) is attractive for the applications in short-range (SR) automotive radar sensors in order to contribute to significant reduction of traffic fatalities. Although CMOS is suitable for the short-range radar since processing units can be implemented in the same chip with the UWB front-end building block, it is difficult to operate CMOS pulse generators at such a high frequency. To realize the pseudo-millimeter-wave band using CMOS, we have proposed a new pulse generator consisting of a series of delay cells and edge combiners with waveform shaping. As a result of measurement using 90nm CMOS technology, 1Gbps pulses are successfully generated with a power consumption of 1.4mW at a supply voltage of 0.9V. This result will be the key technology for a one-chip SR cost effective radar sensors.
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