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Range sidelobe reduction filter design for binary coded pulse compression system

Akbaripour, A ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/TAES.2012.6129640
  3. Publisher: 2012
  4. Abstract:
  5. Pulse compression is an active research topic in radar systems. A problem in pulse compression is masking of small targets by the range sidelobes of large nearby targets. A new filter structure is introduced here to suppress the sidelobes of radar signals that result from standard matched filtering. The proposed filter is applicable for any type of binary coding signals. Several techniques are used to calculate the filter coefficients such as Wiener filter technique, Lagrange multiplier method, and linear programming (LP) algorithm. Also, a weighting function is utilized to shape the sidelobe energy in an iterative manner that will yield more sidelobe reduction. Comparison of the proposed filters and the matched filter shows that at the expense of insignificant loss in signal-to-noise ratio (LSNR), adequate mainlobe-to-peak-sidelobe ratio (MSR) can be achieved
  6. Keywords:
  7. Binary coding ; Compression system ; Filter coefficients ; Filter designs ; Filter structures ; Lagrange multiplier method ; Linear programming algorithm ; Matched filtering ; Radar signals ; Range sidelobe reduction ; Range sidelobes ; Research topics ; Side lobes ; Side-lobe reduction ; Sidelobe energy ; Signal to noise ; Small targets ; Weighting functions ; WIENER filters ; Data compression ; Lagrange multipliers ; Matched filters ; Pulse compression ; Radar systems ; Signal to noise ratio ; Active filters
  8. Source: IEEE Transactions on Aerospace and Electronic Systems ; Volume 48, Issue 1 , Jan , 2012 , Pages 348-359 ; 00189251 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6129640