Radar Recognition through Statistical Classification of Cellular Emission in the Moment Space

  • Nelson Chávez
  • Angel L. González
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5197)


A method is presented for radar target rescognition, using the moments of the parameters of the scattered or emitted signals for classification. Large size samples of signal parameters, formed by signals emitted by each of the resolution cells of the searching region, are used to obtain a determined number of normal distributed moments which represent statistical features of the cellular emissions. Taking these moments as components a classification vector is obtained in the moment space. Classification process is carried out assigning every cell of the searching region to one of the previously determined classes during an adaptive process, where the border limiting each class is determined accordingly Neyman - Pearson criterion. The larger size samples, the lower the classification error, which makes possible the distinction of processes very similarly to each other.


Target recognition classification vector moment space searching region distributed targets 


  1. 1.
    Chávez, N., Chávez, L.V., Ravelo, A.: Radar Detection by Statistical Classification of the Cellular Emission of the Explored Region: Increasing of Detection employing Large Samples. ITM “José Martí” Science and Technology Review 2(1) (1999)Google Scholar
  2. 2.
    Chávez, N.: Radar Detection and Range: Early Warning for Targets in Masking Enviroments. A Solution to the Problem. Doctoral Dissertation. ITM “José Martí”. Havana (2002)Google Scholar
  3. 3.
    Chávez, N.: Radar Detection and Recognition through the Analysis and Statistical Classification of the Cellular Emission. XIII Scientific Convention of Engineering and Architecture. ISPJAE – CUJAE, Havana, November – December (2006)Google Scholar
  4. 4.
    Chávez, N.: The Use of Large Size Samples and the Decision Making in the Moments Space: A New Approach to the Solution of the Radar Detection and Recognition Problem. Cuban Military Review of Science and Technology 1 (2007)Google Scholar
  5. 5.
    Chávez, N., González, A.L.: Optimization of Radar Detection when Decision Making Takes Place in the Moments Space. An Approach to the Solution of the Problem. Cuban Military Review of Science and Technology 3 (2008)Google Scholar
  6. 6.
    Lievin, B.R.: Theoretical Fundamentals of Statistical Radio Technique (in Russian). Radio and Communication, Moscow (1989)Google Scholar
  7. 7.
    Cramer, H.: Mathematical Methods of Statistics. Aguilar, Madrid (1970)Google Scholar
  8. 8.
    Korn, G.A., Korn, M.S.: Mathematical Handbook for Scientists and Engineers (in Russian). Science, Moscow (1977)Google Scholar
  9. 9.
    Helstrom, C.W.: Statistical Theory of Signal Detection. Pergamon Press, Oxford (1968)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Nelson Chávez
    • 1
  • Angel L. González
    • 1
  1. 1.Instituto Técnico Militar “José Martí”Cuba

Personalised recommendations