SNR Estimation

 

 

 

SNR Estimation

  

 

         

 

 

             In recent years, techniques such as multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM)

             have been developed and combined in MIMO-OFDM systems to provide higher data rates. In addition, the system can be optimized

             by setting modulation and coding adaptively according to the channel conditions.

            The overall system performance depends on how accurately the system obtains the channel state information (CSI) and feeds it back

            to the transmitter.  In this paper, we propose a signal-to-noise-ratio (SNR) estimation algorithm in which the preamble is known by

            both sides of the transceiver. Through simulations of several channel environments, we prove that our proposed algorithm is more

            accurate than traditional algorithms.

           Our  new SNR estimation algorithm that is based on the use of a preamble and does not require channel estimation to make

           an accurate estimation of the SNR. In our algorithm, the signal power is considered to be the entire sequence of two preambles

           with OFDM size and composed of BPSK or QPSK symbols; therefore, we consider the signal power to be 1. The relative noise

           power is calculated by the square of the absolute value of the two received preambles. By dividing the signal between the noise

           power, we obtain the SNR estimation. Simulations performed in several channels prove that the new proposed algorithm produces

           the lowest estimation error.

 

          Paper                  Throughput Performance Analysis of AMC Based on a New SNR Estimation Algorithm Using Preamble