Radar Signals with ZACZ Based on Pairs of D-Code Sequences and Their Compression Algorithm

Roman N. Ipanov, Alexandr I. Baskakov, Nikolay Olyunin, Min Ho Ka

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Radar signals are synthesized having a region of zero autocorrelation sidelobes with a relative width of 1/3\leq \varepsilon < 1 in the vicinity of the central peak of an aperiodic autocorrelation function. These signals represent a train of two binary phase-coded pulses encoded by pair of complementary sequences of length N=2k , with an integer k\geq 2. The correlation characteristics of the synthesized signal are analyzed. A compression algorithm for these signals, multichannel with respect to the Doppler frequency, is considered. It includes a combined algorithm for fast Walsh and Fourier transforms.

Original languageEnglish
Article number8450026
Pages (from-to)1560-1564
Number of pages5
JournalIEEE Signal Processing Letters
Issue number10
Publication statusPublished - 2018 Oct

Bibliographical note

Funding Information:
Manuscript received June 16, 2018; revised July 25, 2018; accepted August 21, 2018. Date of publication August 29, 2018; date of current version September 10, 2018. This work was supported in part by a grant from the Russian Science Foundation under Project 17-19-01616, in part by the Ministry of Science, ICT and Future Planning, Korea, under the ICT Consilience Creative Program IITP-2017-2017-0-01015 supervised by the Institute for Information & Communications Technology Promotion (IITP), in part by the Civil Military Technology Cooperation Program, and in part by the IITP funded by the Korean government (MSIT) under Grant 2017-0-00678. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Jun Liu. (Corresponding author: Min-Ho Ka.) R. N. Ipanov and A. I. Baskakov are with the Moscow Power Engineering Institute (National Research University), Moscow 111250, Russia (e-mail:, iproman@ya.ru; baskakovai@mpei.ru).

Publisher Copyright:
© 1994-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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