Smart antenna array processing techniques and implementation of Spatio-temporal sampling and Equality check algorithm

  • Uttam Bombale
  • Sunita Mane

Abstract

Research and development in smart or adaptive
antenna array is always in progress to estimate direction of
arrival (DOA) accurately and to form the beam in the direction
of DOA. This paper presents different temporal and spatial array
processing techniques used for DOA estimation. Temporal class
contains all algorithms which use temporal properties of the
desired signal during the adaptation process. This can be a
training sequence as well as the constant envelope property of the
signal to be received. The antenna weight vectors are directly
determined from the received signals at the antenna elements and
the temporal signal properties, where no channel estimation is
performed. Temporal processing algorithms include LMS, RLS,
SQRLS, DMI, SMI, CMA algorithms. Spatial algorithms use
knowledge about the properties of the array manifold to
determine the DOAs of the incident signals. Afterwards the
antenna weight vectors are determined and the signals are
separated and further processed by any detector. Spatial
processing algorithms include MUSIC, ESPRIT, UNITARY
ESPRIT, SAGE algorithms.
In this paper by studying the above method one
different method i.e. ‘spatio-temporal sampling and equality
check’ method is developed and implemented using MATLAB
SIMULINK and the performance is checked for different
combination of input signal and noise signal.

Keywords: LMS, RLS, SQRLS, DMI, SMI, CMA, MUSIC, ESPRIT, UNITARY ESPRIT, SAGE.

References

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Bombale, U., & Mane, S. (2019). Smart antenna array processing techniques and implementation of Spatio-temporal sampling and Equality check algorithm. Asian Journal For Convergence In Technology (AJCT). Retrieved from http://asianssr.org/index.php/ajct/article/view/742
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