Invention Grant
- Patent Title: Method for suppresing noise and increasing speed in miniaturized radio frequency signal detectors
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Application No.: US16645708Application Date: 2019-02-28
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Publication No.: US11294027B2Publication Date: 2022-04-05
- Inventor: Marko Borosak , Matej Paradzik
- Applicant: A-ELEKTRONIK D.O.O.
- Applicant Address: HR Zagreb
- Assignee: A-ELEKTRONIK D.O.O.
- Current Assignee: A-ELEKTRONIK D.O.O.
- Current Assignee Address: HR Zagreb
- Agency: Xsensus LLP
- International Application: PCT/HR2019/000004 WO 20190228
- International Announcement: WO2020/174257 WO 20200903
- Main IPC: G01S7/02
- IPC: G01S7/02 ; G01S7/03 ; G01S7/40 ; G01S13/58 ; G01S13/931

Abstract:
The invention discloses design of the wideband single, dual or three channel signal detector with ability to suppress interference and crosstalk from two PLL LO signal generators (101 & 102) with selection of best pairs of LO frequencies (108 & 109) out of all possible pairs in the way that all interference is kept out-of-band and with efficient filtering in IF (103) and baseband (104) to achieve high sensitivity for wideband channels without requirement for heavy shielding or adding of absorptive materials to the receiver subsystems. Method for measurement and creating array with frequency pairs to control PLL generators with optimal frequency distribution on each PLL generator for uniform and fastest possible scanning of all required bands is also disclosed.
In addition to signal analyzer (801) design and implementation method for digital signal processing for purpose of detection of speed measurement radars is disclosed with advanced AI (808) supported system for classification of the detected signals. Classifier AI module is implemented with SVM (Supported Vector Machine) (913) pretrained and periodically retrained for signal classification in the operation of the detector, and with additional neural network (910) used for assisting in classification of to SVM (913) unknown signals that could be detected during the operation of the detector and to update dynamical signature database (911) used for periodical retraining of the SVM (913) classifier. Optional user interface is possible for manual classification of detected signals and to update dynamical database (911) with new signatures with high weight for retraining.
In addition to signal analyzer (801) design and implementation method for digital signal processing for purpose of detection of speed measurement radars is disclosed with advanced AI (808) supported system for classification of the detected signals. Classifier AI module is implemented with SVM (Supported Vector Machine) (913) pretrained and periodically retrained for signal classification in the operation of the detector, and with additional neural network (910) used for assisting in classification of to SVM (913) unknown signals that could be detected during the operation of the detector and to update dynamical signature database (911) used for periodical retraining of the SVM (913) classifier. Optional user interface is possible for manual classification of detected signals and to update dynamical database (911) with new signatures with high weight for retraining.
Public/Granted literature
- US20210132184A1 A METHOD FOR SUPPRESING NOISE AND INCREASING SPEED IN MINIATURIZED RADIO FREQUENCY SIGNAL DETECTORS Public/Granted day:2021-05-06
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