delay spoofing reduction in gps navigation system based on time and transform domain adaptive filtering

Due to widespread use of global positioning system (gps) in different applications, the issue of gps signal interference cancelation is becoming an increasing concern. one of the most important intentional interferences is spoofing signals. an effective interference (delay spoof) reduction method based on adaptive filtering is developed in this paper. the principle of method is using adaptive filters to eliminate interference, obtain an estimate of interfering signal and subtract that from the corrupted signal. so, what remains in the output is the desired signal. here, for updating the filter coefficients adaptive algorithms in both time (statistical and deterministic) and transform domain will be studied. the proposed adaptive filter is applied to a batch of spoofing gps data in pseudorange level. the results indicate that all investigated algorithms are able to reduce positioning steadystate missadjustment up to 70 percent. in this context, the variable stepsize least mean square algorithm performs better than others do.