"MDS - M\u011B\u0159en\u00ED, diagnostika, spolehlivost palubn\u00EDch soustav letadel - 7. mezin\u00E1rodn\u00ED v\u011Bdeck\u00E1 konference" . "D\u00EDky univerz\u00E1ln\u00EDm odhadovac\u00EDm vlastnostem je Kalman\u016Fv filtr (KF) v\u0161estrann\u00FD matematick\u00FD n\u00E1stroj pou\u017E\u00EDvan\u00FD t\u00E9m\u011B\u0159 ve v\u0161ech oblastech spjat\u00FDch jak\u00FDmkoli zp\u016Fsobem s navigac\u00ED. Nyn\u011Bj\u0161\u00ED trend v\u00FDvoje inerci\u00E1ln\u00ED navigace vyu\u017E\u00EDv\u00E1 KF pro integraci GPS/INS, tedy k f\u00FAzi v\u00FDstupn\u00EDch sign\u00E1l\u016F senzor\u016F, a to tak, aby se zlep\u0161il samotn\u00FD odhad a zv\u00FD\u0161ila se p\u0159esnost GPS/INS naviga\u010Dn\u00EDch syst\u00E9m\u016F. Jeden z hlavn\u00EDch vliv\u016F na p\u0159esnost a spolehlivost GPS/INS syst\u00E9m\u016F je vhodn\u00FD v\u00FDb\u011Br senzor\u016F. V dne\u0161n\u00ED dob\u011B je p\u0159edev\u0161\u00EDm cena t\u011Bchto senzor\u016F rozhoduj\u00EDc\u00EDm hlediskem p\u0159i v\u00FDb\u011Bru pro po\u017Eadovanou aplikaci. Proto se tento \u010Dl\u00E1nek zab\u00FDv\u00E1 levn\u00FDmi inerci\u00E1ln\u00EDmi senzory, navrhuje metodiku pro jejich v\u00FDb\u011Br, modelov\u00E1n\u00ED, hodnocen\u00ED a implementaci do n\u00E1vrhu Kalmanova filtru."@cs . . "Brno" . "Rein\u0161tein, Michal" . "Brno" . "2"^^ . . "Roh\u00E1\u010D, Jan" . "Modelling and Evaluation of Inertial Sensors" . "434372" . . "978-80-7231-281-8" . . "97;105" . "Modelling and Evaluation of Inertial Sensors"@en . . . . "Due to its universal estimation character the Kalman filter (KF) is a versatile mathematical tool usable almost in any area adherent to navigation in any way. A current trend in an inertial navigation uses KF for GPS/INS integration, i.e. for sensor outputs fusion, to obtain better estimation results and enhance the precision of the INS/GPS navigation. One of main influences on the precision and reliability of the GPS/INS system is the selection of subsystem-level sensors. Nowadays, cost of these sensors is the crucial issue and decisive factor for the desired application. Therefore, this article concerns low cost inertial sensors and suggests the methodology for sensor selection, modelling, evaluation and implementation into the Kalman filter design." . "Modelov\u00E1n\u00ED a hodnocen\u00ED inerci\u00E1ln\u00EDch senzor\u016F"@cs . "RIV/68407700:21230/07:03133071!RIV08-MSM-21230___" . "Modelov\u00E1n\u00ED a hodnocen\u00ED inerci\u00E1ln\u00EDch senzor\u016F"@cs . "inertial sensors"@en . "Z(MSM6840770015)" . . . . "Due to its universal estimation character the Kalman filter (KF) is a versatile mathematical tool usable almost in any area adherent to navigation in any way. A current trend in an inertial navigation uses KF for GPS/INS integration, i.e. for sensor outputs fusion, to obtain better estimation results and enhance the precision of the INS/GPS navigation. One of main influences on the precision and reliability of the GPS/INS system is the selection of subsystem-level sensors. Nowadays, cost of these sensors is the crucial issue and decisive factor for the desired application. Therefore, this article concerns low cost inertial sensors and suggests the methodology for sensor selection, modelling, evaluation and implementation into the Kalman filter design."@en . "Univerzita obrany. Fakulta vojensk\u00FDch technologi\u00ED Brno" . "9"^^ . "[2BCE356E4ABF]" . . "21230" . . . . "Modelling and Evaluation of Inertial Sensors" . "2"^^ . . "2007-10-17+02:00"^^ . "RIV/68407700:21230/07:03133071" . "Modelling and Evaluation of Inertial Sensors"@en .