A Novel Algorithm to Improve Resolution for Very Few Samples

This paper presents a new technic to improve resolution and direction of arrival (DOA) estimation of two closed source, in array processing, when only few samples of received signal are available. In these conditions, the detection of sources (targets) is more arduous, and even breaks down. To overcome these problems, a new algorithm is proposed. It combines spatial smooth method to widen the spatial resolution, bootstrap technique to estimate increased sample size, and a high resolution technique which is Multiple Signal Classification (MUSIC) to estimate DOA. Through different simulations, performance and effectiveness of the proposed approach, referred to as Spatial Smooth and Bootstrapped technique “SSBoot’’, are demonstrated.

@article{Irid2017,
  title     = {A Novel Algorithm to Improve Resolution for Very Few Samples},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {10},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Sidi Mohamed Hadj Irid and Samir Kameche},
  doi       = {10.14569/IJACSA.2017.081041},
  url       = {https://doi.org/10.14569/IJACSA.2017.081041}
}