000 02515nam a22001697a 4500
082 _a621.84
_bK963M
100 _aKumar, Anil
_926089
245 _aMultipath and Interference Mitigation in GNSS Receiver
_cby Anil Kumar
260 _aIIT Jodhpur
_bDepartment of Electrical Engineering
_c2017
300 _axii,56p.
_bHB
520 _a"As positioning/navigation/timing (PNT) based applications continue to expand strongly in consumer and commercial segments, demand is also growing for uninterrupted, and ubiquitous access to position/location information in all environments, indoors and outdoors. The standard ‘global navigation satellite system (GNSS)’ receiver works well in outdoor line-of-sight environments. However, in dense urban settings and indoor environments, due to signal multipath, shadowing, noise and interference caused by communication system operating in adjacent frequency bands, the accuracy of GNSS receivers is severely degraded rendering PNT solutions useless for many applications. For obtaining the position solution, the signal coming from the satellite is correlated with the reference signal available at navigation receiver. Standard receiver takes the advantage of triangular shape of the correlation function, but in case of multipath it is effectively the some of many such triangles each corresponding to a multipath component. The disturbance caused in correlation function leads to an error in position solution. In urban and indoor environments, along with multipath, shadowing and interference are additional problems that are responsible for low received signal power. In such a case of weak signals, receiver acquisition fails and no position solution is obtained. In the presented work we provide novel algorithmic solutions to mitigate signal multipath and interference effects on PNT solutions in dense urban settings and indoor environments. The performance improvements of the proposed solutions are demonstrated using recorded GNSS satellite signal and MATLAB based software defined GNSS receiver and the results show that these methods perform within desired accuracy limits in very general multipath and interference environments. The comparison shows that performance of these algorithms is far better than the existing state of art solutions."
650 _aInterference Mitigation
_926090
650 _aMTech Theses
_926091
650 _aDepartment of Electrical Engineering
_926092
700 _aSingh, Arun Kumar
_926093
942 _cTH
999 _c14686
_d14686