In this paper an approach of eigen-decomposition and Chirp Z Transform (CZT) for DSSS signals with unknown carrier frequency under narrow band interferences is proposed to estimate the PN sequence.The period and chip rate of PN sequence need to be known. Firstly, the received signal is divided into vectors. Then, the eigenvalue decomposition is applied to the correlation matrix of the vectors. Finally, the narrow band interference, the carrier frequency and the PN sequence can be estimated by applying the improved Minimum Description Length (MDL) criteria and the Chirp-Z Transform (CZT) method on the eigenvectors. Simulation experiments show the performance curves at different SNRs with different periods of PN sequence under different narrow band interferences. Theory analysis and simulation results show that the approach can work effectively under low SNR.
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