Particle swarm optimization for pilot tones design in MIMO-OFDM systems

作者：Seyman Muhammet Nuri^*; Taspinar Necmi

来源：EURASIP Journal on Advances in Signal Processing, 2011, 2011(1): 10.

DOI：10.1186/1687-6180-2011-10

• MIMO-OFDM
• channel estimation
• particle swarm optimization

Channel estimation is an essential task in MIMO-OFDM systems for coherent demodulation and data detection. Also designing pilot tones that affect the channel estimation performance is an important issue for these systems. For this reason, in this article we propose particle swarm optimization (PSO) to optimize placement and power of the comb-type pilot tones that are used for least square (LS) channel estimation in MIMO-OFDM systems. To optimize the pilot tones, upper bound of MSE is used as the objective function of PSO. The effects of Doppler shifts on designing pilot tones are also investigated. According to the simulation results, PSO is an effective solution for designing pilot tones.

• 出版日期2011