Discrete frequency-coded radar signal design

Access Full Text

Discrete frequency-coded radar signal design

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Signal Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

A modified simulated annealing algorithm (MSAA) is proposed as combinatorial multivariable optimisation technique to design discrete frequency-coding (DFC) sequence sets with good auto- and cross-correlation properties. The proposed algorithm is a combination of simulated annealing and Hamming scan algorithm. MSAA has global minimum estimation capability of simulated annealing and fast convergence rate of Hamming scan algorithm. Some of the synthesised results are presented, the properties of the sequence sets are shown to be better than the other sequence sets known in the literature. Synthesised DFC sequence sets have properties far better than polyphase sequence sets. The synthesised DFC sequence sets are promising for practical application to netted radar/multiple radar systems.

Inspec keywords: encoding; combinatorial mathematics; correlation methods; simulated annealing; convergence; radar signal processing

Other keywords: auto-correlation property; modified simulated annealing algorithm; DFC sequence set; fast convergence rate; discrete frequency-coded radar signal design; combinatorial multivariable optimisation technique; cross-correlation property; Hamming scan algorithm

Subjects: Codes; Radar equipment, systems and applications; Signal processing and detection; Optimisation techniques; Combinatorial mathematics

References

    1. 1)
      • M.I. Skolnik . (2001) Introduction to radar systems.
    2. 2)
      • S. Kirkpatrick , C.D. Gelatt , M.P. Vecchi . Optimization by simulated annealing. Science , 671 - 680
    3. 3)
      • H. Deng . Discrete frequency – coding waveform design for netted radar systems. IEEE Signal Process. Lett. , 2 , 179 - 182
    4. 4)
      • P.S. Moharir , V.M. Maru , R. Singh . Bi-parental product algorithm for coded waveform design in radar. Sadhana , 5 , 589 - 599
    5. 5)
      • H. Deng . Polyphase code design for orthogonal netted radar systems. IEEE Trans. Signal Proces. , 3126 - 3135
    6. 6)
      • D.V. Sarwate . Bounds on cross correlation and autocorrelation of sequences. IEEE Trans. IT , 6 , 720 - 724
    7. 7)
      • Deng, H.: `Theory and applications of netted radar systems', Univ, June 2002, New Orleans, LA, Int. Res. Rep..
    8. 8)
      • N.J. Willis . (1991) Bistatic radar.
    9. 9)
      • N. Levanon , E. Mozeson . (2004) Radar signals.
    10. 10)
      • P.S. Moharir , R. Singh , V.M. Maru . S-K-H algorithm for signal design. Electron. Lett. , 18 , 1642 - 1649
    11. 11)
      • J.P. Costas . A study of a class of detection waveforms having nearly ideal range-Doppler ambiguity properties. Proc. IEEE , 996 - 1099
    12. 12)
      • S.P. Singh , K. Subba Rao . Polyphase radar signal design using modified simulated annealing algorithm. IETE J. Res. , 2 , 173 - 182
    13. 13)
      • Singh, S.P., Subba Rao, K.: `Modified simulated annealing algorithm for polyphase code design', Proc. of IEEE ISIE-06, 9–13 July 2006, Canada, p. 2961–2971.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr_20080047
Loading

Related content

content/journals/10.1049/iet-spr_20080047
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading