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This paper proposes optimal superimposed pilot (SIP) sequence design and pilot placement towards mean square error (MSE) minimization for channel estimation in spatially correlated/uncorrelated MIMO OFDM channels.
The simulation results in which our proposed technique leaves behind the other considered strategies demonstrates that GWO based pilot design method is a promising pilot placement strategy for OFDM IDMA system because of its high performance and low computational complexity.
In the simulations, our proposed GWO based pilot design method is compared to random, equispaced, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) based pilot placement strategies in terms of MSE and bit error rate (BER) criteria.
In this paper, the joint pilot placement and symbol design optimization problem for sparse CE in OFDM systems is considered based on minimizing the mutual coherence of the Fourier submatrix associated with the pilot subcarriers.
Simulation results demonstrate that the proposed scheme is effective and offer a better CE performance — in terms of Mean Square Error (MSE) and Bit Error Rate (BER), when compared to former pilot placement schemes that assume the equally powered pilot symbols and other schemes that jointly design the pilot symbols and their placement.
Since the channel estimation performance is affected directly by the positions of pilot tones, the optimization of pilot placement process known as having quite important role on minimizing the estimation errors has become a significant task for the multicarrier transmission technologies.
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However, the approach in [11] optimizes only pilot placements of the equally powered pilot symbols.
We have proposed an iterative algorithm to determine pilot placements and then distribute power to the selected pilot symbols by using convex optimization techniques.
However, the pilot positions optimization schemes (i.e., algorithms for determining the optimal pilot placements) are not effective for NC-OFDM systems.
To the generated samples of pilot placements, we adopt the analytical power optimization for pilot power distribution in order to reduce the channel estimate MSE.
Last year, the foundation made a little more than $300,000 in grants to support a number of school programs, like a pilot advanced placement course in world history, refurbishing the school rotunda, and a new art room computer, among other projects.
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