Study And Implement Of A Cloud-based GPS Receiver

GPS receiver is now widely adopted by smart phones, tablet PCs and other portabledevices for positioning and navigation services. Its power consumption which is high,however, is in conflict with the low power requirements of portable devices.Cloud Computing offers a chance to reduce the power consumption of the GPS receiveras some high-complexity and high–power consumption baseband signal processing can bemoved towards the cloud and others remain based on local computing. Therefore, powerconsumption of local receiver is able to be cut down. However, transmitted power would bemuch higher since lots of data have to be sent to the cloud based on the traditional GPSlocation algorithm in this way. Thus, reducing the data transmission of local receiver to thecloud is a critical issue. To solve this problem, this paper use Coarse-Time Navigation (CTN)algorithm in the cloud-based GPS receiver, which means other than the whole signalprocessing of traditional GPS receiver; only the acquisition processing is needed. Finally, anovel low power consumption cloud-based GPS receiver is designed following this scheme.The main works of this paper are as follows:1) The Design and implement of a parallel multi-channel GPS receiver, which isessential to the cloud-based GPS receiver.2) This paper simplify the signal processing of GPS receiver by adopting CTN algorithm,and also, figure out the problem of the satellite location calculating by polynomialinterpolation. With this scheme, only two millisecond of satellite signal is requisite forpositioning solution, which solves the problem of the mass data needed to be transmitted.3) The Design and implement of a cloud-based GPS receiver, which includes the localclient and the cloud.4) The testing on the cloud-based GPS receiver. Results show that the cloud-based GPSreceiver can achieve good positioning accuracy. Compared with the standlone GPS receiver,an approximate decrease of75%of power consumption is achieved using this scheme.