AOA selection algorithm for multiple GPS signals

Abstract

The Global Positioning System (GPS) with various commercial and military applications is designed to estimate the location of the specific user or object. It requires at least four satellites to accurately estimate the location. Since GPS signals suffer from various high power interference signals and jammers, we employ efficient interference suppression techniques such as a minimum-variance distortionless-response (MVDR) beamformer or a generalized sidelobe canceler (GSC). Most of them require the GPS signal angle of arrival (AOA), and we utilize the Multiple Signal Classification (MUSIC) or Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) to estimate GPS AOA. However, they must choose the GPS AOAs from all estimated AOAs when existing high power interference signals, because they include AOAs of the interference signals. In this paper, we propose the AOA choosing algorithm for multiple GPS signals in the environment of high-power interference signals. The proposed algorithm is based on the comparison of the estimated AOAs for the received signal before despreading and the output signal of the despreader, for choosing GPS AOAs. A representative computer simulation example is presented to illustrate the performance of the AOA choosing algorithm for the multiple GPS signals.

Indoor localization based on hybrid Wi-Fi hotspots

“…[5]. At present, the algorithms widely used in the field of indoor location based on Wi-Fi include the angle of arrival localization algorithm (AOA), the time of arrival localization algorithm (TOA), the time difference of arrival localization algorithm (TDOA), the received signal strength indication localization algorithm (RSSI), the fingerprint-based localization algorithm, and so on [6][7][8][9][10][11][12][13].…”