This research is about applying virtual microphone technique to vehicles. The purpose is to replace nearer microphone with the other microphone for car driver with using algorithms to estimate pressure. If we estimate pressure correctly that will be very useful on local active noise control. We experimented with different LMS algorithms which were adjusted by filter length to produce a model series whose errors would be reduced. The ultimate goal was to filter unnecessary frequency and reduce errors by applying the equalizer to narrow the band and control filter length. The algorithm makes sure when sound is enlarged, the errors would remain stable.