چكيده به لاتين
Abstract:
Millimeter Wave telecommunication systems are one of the most important proposals to meet the new requirements of telecommunication systems, including higher rates and frequency bandwidths. Suitable directional beam forming and directional antennas can overcome the high emission losses found in these systems. In order to take advantage of digital beam forming and simultaneously reducing the complexity of hardware, hybrid beam forming was introduced. Due to the nature of the sparsity of Millimeter Wave systems and the type of optimization problems related to the precoding and combining hybrid, the orthogonal matching pursuit method has been proposed as one of the methods of compressed sensing for solving such problems. Although the problem of precoding and combining design with orthogonal matching search principles has been studied before, but due to problems with this method, including high sensitivity to noise, this thesis attempts to investigate and apply other algorithms of compressed sensing to The names of the Conevx optimization block algorithm, the block Stage wise Orthogonal Matching Pursuit algorithm, and the block compressed sampling matching pursuit algorithm, have, in addition to having a higher resistance to noise, have a better spectral performance than this The algorithm is self-explanatory.
