GPS Signal Detection under Multiplicative and Additive Noise

Abstract

In some Global Positioning System (GPS) signal propagation environments, especially in the ionosphere and urban areas with heavy multipath, GPS signal encounters not only additive noise but also multiplicative noise. In this paper we compare and contrast the conventional GPS signal acquisition method which focuses on handling GPS signal acquisition with additive noise, with the enhanced GPS signal processing under multiplicative noise by proposing an extension of the GPS detection mechanism, to include the GPS detection model that explains detection of the GPS signal under additive and multiplicative noise. For this purpose, a novel GPS signal detection scheme based on high order cyclostationarity is proposed. The principle is introduced, the GPS signal detection structure is described, the ambiguity of initial PseudoRandom Noise (PRN) code phase and Doppler shift of GPS signal is analysed. From the simulation results, the received GPS signal at low power level, which is degraded by additive and multiplicative noise, can be detected under the condition that the received block of GPS data length is at least 1·6 ms and sampling frequency is at least 5 MHz. K E Y WO R D S 1. Weak GPS Signal Acquisition.2. Multiplicative Noise. 3. Doppler shift. 4. Cyclostationarity.

Advanced Anti-Jam Indoor Adaptive GNSS Signal Acquisition: Part 1, Normal Distribution--Theory and Simulations

“…The statistical linearized DDS signal model of our proposed Bayesian receiver takes the form of [3], [15]…”

“…Next, if we define a variable as = − (15) then we have the distribution of the time of transmission, , and carrier frequency, , of the kth GPS signal as follows…”

Indoor Adaptive GNSS Signal Acquisition. Part 1: Theory and Simulations

“…2013 [15]. Based on these above assumptions, (1) can be rewritten as (10) Due to the orthogonality of the pseudo random code, the received GPS signal from only one satellite is taken into consideration in our analysis.…”

“…(Progri 2016, [1]; , [2]; Lachapelle et al 2003, [3]; Progri 2003, [4]). 2010 [11]; Deergha and Swamy 2006 [12]; Fante and Vaccaro 2000 [13]; Amin et al 2004 [14]); the novel signal detection schemes (Huang et al 2013 [15]; Huang and Pi 2009 [16]; Mahani et al 2003 [17]); multi-user detection acquisition and tracking (Progri et al 2005 [18]; Progri et al 2009 [19]).…”

Interference Mitigation for the GPS Receiver Utilizing the Cyclic Spectral Analysis and RR-MSWF Algorithm

“…On the other hand, for most man-made signals including the GPS signal and interference that we are to mitigate, they are spectral correlated in their corresponding cyclic spectral domains [15][16][17], and this feature can be used to mitigate the strong interference. Based on this, a new method utilizing CSA [18][19][20] of the received GPS signal and RR-MSWF algorithm [21], [22] to mitigate the strong interference for the GPS receiver is proposed. The general process of the proposed method is that first we get the CFs of strong interference by CSA of the received GPS signal.…”