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A Tracking Method for Weak GPS Signals Using Dual Kalman Filters and Bayesian Estimation
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ZHOU Guangyu，MAO Xuchu，LIN Qingen，CAO Yi
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(Department of Instrument Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract A new method on GPS weak signal tracking based on dual squareroot Kalman filters and Bayesian Estimation was proposes. It uses a new model of Kalman filter to deal with code tracking and carrier tracking respectively. Bayesian estimation theory was introduced into this method to estimate the unknown navigation data, so that the bad effect brought by reverse of data bits is deeply alleviated. The simulation results show that the weak signal with carriertonoise ratio (C/No) as low as 19 dBHz can be well tracked by the proposed method.
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Received: 28 September 2009
Published: 28 September 2010
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