Method for non-stationary jammer suppression in noise radar systems

Access Full Text

Method for non-stationary jammer suppression in noise radar systems

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

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

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.

Noise radars represent a rapidly growing research topic owing to numerous advantages over the conventional radars. This study proposes a method for strong non-stationary jammer suppression in noise radar systems. The corrupted received signal is divided into non-overlapping segments so that the instantaneous frequency (IF) of the jammer can be approximated by a parabola within each segment. To that end, an adaptive recursive procedure is proposed. The procedure uses the polynomial-phase transform to estimate the parabola coefficients. The jammer suppression is done for each segment separately. The simulations, performed for various types of FM interferences, prove the effectiveness of the proposed method even for highly non-stationary jammers with non-polynomial phase.

Inspec keywords: transforms; polynomials; jamming; radar signal processing

Other keywords: nonstationary jammer suppression; polynomial-phase transform; adaptive recursive procedure; corrupted received signal; FM interferences; noise radar systems; nonoverlapping segments; instantaneous frequency

Subjects: Electromagnetic compatibility and interference; Algebra; Integral transforms; Signal processing and detection; Radar equipment, systems and applications

References

    1. 1)
      • E. Aboutanios , B. Mulgrew . Iterative frequency estimation by interpolation on Fourier coefficients. IEEE Trans. Signal Process. , 53 , 1237 - 1242
    2. 2)
      • S.R.J. Axelsson . Noise radar for range/Doppler processing and digital beamforming using low-bit ADC. IEEE Trans. Geosci. Remote Sens. , 41 , 2703 - 2720
    3. 3)
      • D.C. Bell , R.M. Narayanan . Theoretical aspects of radar imaging using stochastic waveforms. IEEE Trans. Signal Process. , 49 , 394 - 400
    4. 4)
      • S. Peleg , B. Porat . Estimation and classification of polynomial phase signals. IEEE Trans. Inf. Theory , 37 , 422 - 430
    5. 5)
      • S. Barbarossa , A. Scaglione . Adaptive time-varying cancellation of wideband interferences in spread-spectrum communications based on time-frequency distributions. IEEE Trans. Signal Process. , 47 , 957 - 965
    6. 6)
      • R.M. Narayanan , Y. Xu , P.D. Hoffmeyer , J.O. Curtis . Design, performance, and applications of a coherent ultrawideband random noise radar. Opt. Eng. , 37 , 1855 - 1869
    7. 7)
      • S.R.J. Axelsson . Noise radar using random phase and frequency modulation. IEEE Trans. Geosci. Remote Sens. , 42 , 2370 - 2384
    8. 8)
      • S. Peleg , B. Friedlander . Multicomponent signal analysis using the polynomial-phase transform. IEEE Trans. Aerosp. Electron. Syst. , 32 , 378 - 387
    9. 9)
      • A. Papoulis . (1965) Probability, random variables, and stochastic processes.
    10. 10)
      • L.j. Stanković , S. Djukanović . Order adaptive local polynomial FT based interference rejection in spread spectrum communication systems. IEEE Trans. Instrum. Meas. , 54 , 2156 - 2162
    11. 11)
      • W. Sun , M.G. Amin . A self-coherence anti-jamming GPS receiver. IEEE Trans. Signal Process. , 53 , 3910 - 3915
    12. 12)
      • X. Ouyang , M.G. Amin . Short-time Fourier transform receiver for nonstationary interference excision in direct sequence spread spectrum communications. IEEE Trans. Signal Process. , 49 , 851 - 863
    13. 13)
      • M. Daković , T. Thayaparan , S. Djukanović , L.J. Stanković . Time-frequency-based non-stationary interference suppression for noise radar systems. IET Radar Sonar Navig. , 2 , 306 - 314
    14. 14)
      • I.P. Theron , E.K. Walton , S. Gunawan , L. Cai . Ultrawide-band noise radar in the VHF/UHF band. IEEE Trans. Antennas Propag. , 47 , 1080 - 1084
    15. 15)
      • P. O'Shea . A new technique for estimating instantaneous frequency rate. IEEE Signal Process. Lett. , 9 , 251 - 252
    16. 16)
      • M.G. Amin . Interference mitigation in spread spectrum communication systems using time-frequency distributions. IEEE Trans. Signal Process. , 45 , 90 - 101
    17. 17)
      • B. Boashash . Estimating and interpreting the instantaneous frequency of a signal – part 2: algorithms and applications. Proc. IEEE , 80 , 540 - 568
    18. 18)
      • R.M. Narayanan , M. Dawood . Doppler estimation using a coherent ultra wide-band random noise radar. IEEE Trans. Antennas Propag. , 48 , 868 - 878
    19. 19)
      • S. Peleg , B. Friedlander . The discrete polynomial-phase transform. IEEE Trans. Signal Process. , 43 , 1901 - 1914
    20. 20)
      • P. O'Shea . A fast algorithm for estimating the parameters of a quadratic FM signal. IEEE Trans. Signal Process. , 52 , 385 - 393
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2009.0034
Loading

Related content

content/journals/10.1049/iet-spr.2009.0034
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading