• DocumentCode
    2954561
  • Title

    Lossless compression of ultra wideband radar using adaptive filters

  • Author

    Coutu, Gerard ; Fargues, Monique

  • Author_Institution
    Hartford Graduate Center, CT, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    1259
  • Abstract
    This paper applies a technique for waveform data compression to Ultra Wideband (UWB) radar integer data. The method uses an Adaptive Differential Pulse Code Modulation (ADPCM) scheme to output a integer residual sequence for transmission, storage, or further encoding. The ADPCM implementation considered uses an adaptive Frequency Sampling predictor that is equivalent to an adaptive Discrete Cosine Transform (DCT). To reconstruct the original integer data, only the initial adaptive filter parameters are needed in addition to the integer residual sequence. Results show that the original integer sequence can be recovered without loss and that the standard deviation of the data is reduced
  • Keywords
    adaptive filters; adaptive radar; data compression; differential pulse code modulation; linear predictive coding; radar signal processing; sequential codes; signal reconstruction; signal sampling; ADPCM implementation; adaptive differential pulse code modulation scheme; adaptive discrete cosine transform; adaptive filters; adaptive frequency sampling predictor; integer data reconstruction; integer residual sequence; lossless compression; standard deviation; ultra wideband radar integer data; waveform data compression; Adaptive filters; Data compression; Discrete cosine transforms; Encoding; Frequency; Modulation coding; Pulse modulation; Sampling methods; Ultra wideband radar; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2570-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.1995.520374
  • Filename
    520374