Title :
Acquisition of m-sequences using recursive soft sequential estimation
Author :
Yang, Lie-Liang ; Hanzo, Lajos
Author_Institution :
Dept. of Electron. & Comput. Sci., Univ. of Southampton, UK
Abstract :
A novel sequential estimation method is proposed for the initial synchronization of pseudonoise (PN) signals derived from m-sequences. This sequential estimation method is designed based on the principle of recursive soft-in/soft-out (SISO) decoding, and we refer to it as the recursive soft sequential estimation (RSSE) acquisition scheme. The RSSE acquisition scheme exhibits a complexity similar to that of a conventional m-sequence generator, which increases only linearly with the number of stages in the m-sequence generator. Our simulation results also show that the acquisition time of the proposed RSSE acquisition scheme is also linearly dependent on the number of stages in the m-sequence generator. Owing to the above properties, the employment of the proposed RSSE acquisition scheme is beneficial for the acquisition of long m-sequences.
Keywords :
m-sequences; maximum likelihood estimation; pseudonoise codes; recursive estimation; sequential decoding; sequential estimation; synchronisation; initial synchronization; m-sequences acquisition; maximum-likelihood estimation; pseudonoise signals; recursive decoding; recursive soft sequential estimation; soft-in/soft-out decoding; spread-spectrum signals; Demodulation; Design methodology; Employment; Feedback; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Recursive estimation; Shift registers; Spread spectrum communication;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2003.822729