Sets of GMW-like sequences for digital information transmission and processing systems
https://doi.org/10.17586/0021-3454-2022-65-6-383-393
Abstract
Two sets of sequences similar to Gordon-Mills-Welch (GMW) sequences in finite fields GF(2S) for values S=2 mod 4 are presented. Sets of GMW-like sequences are characterized by a five-level periodic autocorrelation and a four-level cross-correlation function. For these sets, the maximum value of the modulus of the mutual correlation function |Rmax| = (2S/2+1–1) is less than the same value for Gold sequences equal to (2S/2+1+1). The power of one of the sets, FFG1, is equal to half of the sequence period M1 = (N+1)/2 = 2S/2. All sequences of this set are balanced, that is, their weight is equal to V = 2S/2. The power of the other set of GMW- like sequences, FFG2, is approximately equal to the period of the sequences M2 = (N+1) = 2S/2. The sequences of FFG2 set are unbalanced, that is, their weight can take four values V = [2S/2-1(2S/2+1); 2S-1; 2S/2-1(2S/2–1); 2S/2 (2S/2-1–1)]. It is shown that formation of sets of GMW-like sequences with these power and correlation characteristics is possible only for periods N = 63, 1023, 16383, 262143, for which there exist GMW sequences with verification polynomials of degree 2S.
About the Author
V. G. StarodubtsevRussian Federation
Victor G. Starodubtsev - PhD, Associate Professor, Department of Technologies and Means of Automation of Processing and Analysis of Space Vehicles Information
St. Petersburg
References
1. Ipatov V.P. Spread Spectrum and CDMA. Principles and Applications, NY, John Wiley and Sons Ltd., 2005, 488 р.
2. Sklar B. Digital Communications: Fundamentals and Applications, Prentice Hall, 2001, 1079 р.
3. Gold R. IEEE Trans. Inf. Theory, 1968, no. 1(14), pp. 154.
4. Golomb S.W., Gong G. Signal Design for Good Correlation for Wireless Communication, Cryptography and Radar, Cambridge University Press, 2005, 438 p.
5. Varakin L.E. and Shinakov Yu.S., ed., CDMA: proshloe, nastoyashchee, budushchee (CDMA: Past, Present, Future), Moscow, 2003, 608 p. (in Russ.)
6. Bose A., Soltanalian M. IEEE Trans. Signal Process, 2018, no. 11(66), pp. 2998.
7. Shen X., Jia Y., Song X. IEEE Commun. Lett., 2017, no. 10(21), pp. 12150.
8. Chang H.H., Li C.P., Lee C.D., Wang S.H., Wu T.C. IEEE Trans. Inf. Theory, 2015, no. 7(61), pp. 4107.
9. Pei S.C., Chang K.W. IEEE Signal Processing Letters, 2019, no. 8(26), pp. 1112.
10. Pei S.C., Chang K.W. IEEE Signal Processing Letters, 2015, no. 8(22), pp. 1040.
11. Lee C.D., Huang Y.P., Chang Y., Chang H.H. IEEE Signal Processing Letters IEEE, 2015, no. 7(22), pp. 881.
12. Aly H., Winterhof A. IEEE Trans. Inf. Theory, 2020, no. 3(66), pp. 1944.
13. Song J., Babu P., Palomar D.P. IEEE Trans. Signal Process, 2015, no. 15(63), pp. 3998.
14. Song J., Babu P., Palomar D.P. IEEE Trans. Signal Process, 2016, no. 11(64), pp. 2866.
15. Yang Y., Tang X. IEEE Trans. Inf. Theory, 2018, no. 1(64), pp. 384.
16. Katz D.J. IEEE Trans. Inf. Theory, 2016, no. 9(62), pp. 5237.
17. Günther C., Schmidt K.U. IEEE Trans. Inf. Theory, 2019, no. 8(65), pp. 5233.
18. Zhang J.M., Tian T.T., Qi W.F., Zheng Q.X. IEEE Trans. Inf. Theory, 2019, no. 2(65), pp. 1249.
19. Vladimirov S.S., Kognovitsky O.S., Starodubtsev V.G. Trudy uchebnykh zavedeniy svyazi, 2019, no. 4(5), pp. 16–27. (in Russ.)
Review
For citations:
Starodubtsev V.G. Sets of GMW-like sequences for digital information transmission and processing systems. Journal of Instrument Engineering. 2022;65(6):383-393. (In Russ.) https://doi.org/10.17586/0021-3454-2022-65-6-383-393