An algorithm for estimating the delay of a periodic pseudonoise (PN) sequence is presented. It is a rapid, block-based estimator that can be used for both linear and nonlinear codes. The algorithm exploits the periodicity of the difference between the phase spectra of the received sequence and a local reference. The estimator takes the Fourier transform of the phase spectrum difference data, and searches for the fundamental frequency. Unlike previously described methods, phase unwrapping is not required. The performance in the presence of additive white Gaussian noise (AWGN) and a continuous wave (CW) jammer is investigated using computer simulation. Comparisons are made against the delay maximum likelihood estimator (MLE) and other published results. While the proposed estimator has a complexity similar to that of the MLE, it has a relative performance loss of 7 dB under AWGN. However, the proposed estimator can outperform the MLE by 14.5 dB when a CW jammer is present.
K. L. Kosbar and J. J. Zaninovich, "Periodic PN Sequence Delay Estimation using Phase Spectrum Data," Proceedings of the 1993 IEEE Global Telecommunications Conference, including a Communications Theory Mini-Conference (1993, Houston, TX), vol. 3, pp. 1665-1669, Institute of Electrical and Electronics Engineers (IEEE), Nov 1993.
The definitive version is available at https://doi.org/10.1109/GLOCOM.1993.318352
1993 IEEE Global Telecommunications Conference, including a Communications Theory Mini-Conference, GLOBECOM '93 (1993: Nov. 29-Dec. 2, Houston, TX)
Electrical and Computer Engineering
Keywords and Phrases
Fourier Transform; Fourier Transforms; Additive White Gaussian Noise; Block Codes; Block-Based Estimator; Continuous Wave Jammer; Delay Maximum Likelihood Estimator; Delays; Fundamental Frequency; Jamming; Linear Codes; Nonlinear Codes; Parameter Estimation; Periodic PN Sequence Delay Estimation; Periodic Pseudonoise Sequence; Phase Spectrum Data; Random Noise; Relative Performance Loss; Spectral Analysis; Spread Spectrum Communication; White Noise
International Standard Book Number (ISBN)
Article - Conference proceedings
© 1993 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.