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EP3311493 ULPN synthesizers using Fractional-N PLL: A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
READ MOREEP3311493 ULPN synthesizers using Fractional-N PLL: A system for providing ultra low phase noise frequency synthesizers using Fractional-N PLL (Phase Lock Loop), Sampling Reference PLL and DDS (Direct Digital Synthesizer). Modern day advanced communication systems comprise frequency synthesizers that provide a frequency output signal to other parts of the transmitter and receiver so as to enable the system to operate at the set frequency band. The performance of the frequency synthesizer determines the performance of the communication link. Current days advanced communication systems comprises single loop Frequency synthesizers which are not completely able to provide lower phase deviations for errors (For 256 QAM the practical phase deviation for no errors is 0.4-0.5°) which would enable users to receive high data rate. This proposed system overcomes deficiencies of current generation state of the art communication systems by providing much lower level of phase deviation error which would result in much higher modulation schemes and high data rate.
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A target detection and imaging system comprising a RADAR unit: A target detection and imaging system, comprising a RADAR unit and at least one ultra-low phase-noise frequency synthesizer, is provided. RADAR unit configured for detecting the presence and characteristics of one or more objects in various directions. The RADAR unit may include a transmitter for transmitting at least one radio signal, and a receiver for receiving the at least one radio signal returned from the one or more objects. signals. The ultra-low phase-noise frequency synthesizer may utilize dual loop design comprising one main PLL and one sampling PLL, where the main PLL might include a DDS or Fractional-N PLL plus a variable divider, or the synthesizer may utilize a sampling PLL only, to reduce phase-noise from the returned radio signal. This system helps in detecting and classifying human beings present on the road clearly and in time so as to provide a corrective input to the autonomous vehicle timely.
READ MOREA target detection and imaging system comprising a RADAR unit: A target detection and imaging system, comprising a RADAR unit and at least one ultra-low phase-noise frequency synthesizer, is provided. RADAR unit configured for detecting the presence and characteristics of one or more objects in various directions. The RADAR unit may include a transmitter for transmitting at least one radio signal, and a receiver for receiving the at least one radio signal returned from the one or more objects. signals. The ultra-low phase-noise frequency synthesizer may utilize dual loop design comprising one main PLL and one sampling PLL, where the main PLL might include a DDS or Fractional-N PLL plus a variable divider, or the synthesizer may utilize a sampling PLL only, to reduce phase-noise from the returned radio signal. This system helps in detecting and classifying human beings present on the road clearly and in time so as to provide a corrective input to the autonomous vehicle timely.
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10348313 Radar frequency synthesizer for autonomous car: Abstract An object detection system for autonomous vehicle, comprising a radar unit and at least one ultra-low phase noise frequency synthesizer, is provided. The radar unit configured for detecting the presence and characteristics of one or more objects in various directions. The radar unit may include a transmitter for transmitting at least one radio signal; […]
READ MORE10348313 Radar frequency synthesizer for autonomous car: Abstract An object detection system for autonomous vehicle, comprising a radar unit and at least one ultra-low phase noise frequency synthesizer, is provided. The radar unit configured for detecting the presence and characteristics of one or more objects in various directions. The radar unit may include a transmitter for transmitting at least one radio signal; […]
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10404261 Radar target detection system for autonomous vehicles: A system for detecting the surrounding environment of vehicle comprising a RADAR unit and at least one ultra-lowphase-noise frequency synthesizer, is provided. A RADAR unit configured for detecting the presence and characteristics of one or more objects in various directions. The RADAR unit may include a transmitter for transmitting at least one radio signal, and a receiver for receiving the at least one radio signalreturned from the one or more objects. The ultra-lowphase-noisefrequency synthesizer may utilize a dual loop design comprising one main PLL and one sampling PLL, where the main PLL might include a DDS or Fractional-N PLL plus a variable divider, or the synthesizer may utilize a sampling PLL only, to reduce phase-noise from the returned radio signal. This system enhances the detection of the exact location of the vehicle based on the received RADAR signatures of objects, azimuth and distance.
READ MORE10404261 Radar target detection system for autonomous vehicles: A system for detecting the surrounding environment of vehicle comprising a RADAR unit and at least one ultra-lowphase-noise frequency synthesizer, is provided. A RADAR unit configured for detecting the presence and characteristics of one or more objects in various directions. The RADAR unit may include a transmitter for transmitting at least one radio signal, and a receiver for receiving the at least one radio signalreturned from the one or more objects. The ultra-lowphase-noisefrequency synthesizer may utilize a dual loop design comprising one main PLL and one sampling PLL, where the main PLL might include a DDS or Fractional-N PLL plus a variable divider, or the synthesizer may utilize a sampling PLL only, to reduce phase-noise from the returned radio signal. This system enhances the detection of the exact location of the vehicle based on the received RADAR signatures of objects, azimuth and distance.
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8146090 Using time-value curves for resource management: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance. It should be noted, however, that although the present invention has shown and described the use of time-value curves as applied to mission workflow tasks, the present invention is not limited to this application; rather, it can be readily appreciated by one of skill in the art that time-value curves may be used to optimize the delivery of any resource to any consumer by taking into account the dynamic environment of the consumer and resource.
READ MORE8146090 Using time-value curves for resource management: A method and apparatus has been shown and described which allows Quality of Service to be controlled at a temporal granularity. Time-value curves, generated for each task, ensure that mission resources are utilized in a manner which optimizes mission performance. It should be noted, however, that although the present invention has shown and described the use of time-value curves as applied to mission workflow tasks, the present invention is not limited to this application; rather, it can be readily appreciated by one of skill in the art that time-value curves may be used to optimize the delivery of any resource to any consumer by taking into account the dynamic environment of the consumer and resource.
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20170085708 Converting the audible menus to visual IVR menus: Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
READ MORE20170085708 Converting the audible menus to visual IVR menus: Embodiments of the invention provide a system for generating an Interactive Voice Response (IVR) database, the system comprising a processor and a memory coupled to the processor. The memory comprising a list of telephone numbers associated with one or more destinations implementing IVR menus, wherein the one or more destinations are grouped based on a plurality of categories of the IVR menus. Further the memory includes instructions executable by said processor for automatically communicating with the one of more destinations, and receiving at least one customization record from said at least one destination to store in the IVR database.
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