Estimation of Multiple Signals

  • S. Uṇṇikrishṇa Pillai
  • C. S. Burrus
Part of the Signal Processing and Digital Filtering book series (SIGNAL PROCESS)


Having been able to detect the total number of sources present in the scene, their arrival angles, power levels and crosscorrelations, often one may be specifically interested in the actual signal of one of these targets. Letting d(t) denote this desired signal \( {u_{{k_0}}}(t) \), the next objective is to attempt to estimate the actual waveform d(t) associated with \( {u_{{k_0}}}(t) \) by improving the overall reception of d(t) in an environment having several sources. To achieve this, ideally one must be able to suppress the undesired signals and enhance the desired signal. The desired signal may correspond to a friendly satellite signal in presence of hostile jammers, and in this case the second order characteristics themselves may change with time. This can happen because of physical motion or deliberate on-off jamming strategies of the smart opponent. In this case, capabilities for quick adaptive learning of the changing scene are required to maintain an acceptable level of the desired signal characteristics at the receiver.


Mean Square Error Weight Vector Steep Descent Minimum Mean Square Error Little Mean Square 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag New York Inc. 1989

Authors and Affiliations

  • S. Uṇṇikrishṇa Pillai
    • 1
  • C. S. Burrus
    • 2
  1. 1.Department of Electrical Engineering and Computer SciencePolytechnic UniversityBrooklynUSA
  2. 2.Department of Electrical and Computer EngineeringRice UniversityHoustonUSA

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