Performance Analysis of Low Power Low-Cost Signal Detection of MIMO- OFDM using NSD
R.Gnanajeyaraman1, P.Muneeshwari2

1R. Gnanajeyaraman, Department of Computer Science and Engineering, SBM College of Engineering and Technology, Dindigul (Tamil Nadu), India.
2Mrs. P. Muneeshwari, Department of Information Technology, PSNA College of Engineering & Technology, Dindigul (Tamil Nadu), India.
Manuscript received on 15 April 2013 | Revised Manuscript received on 22 April 2013 | Manuscript Published on 30 April 2013 | PP: 61-65 | Volume-2 Issue-5, April 2013 | Retrieval Number: E0651032413/13©BEIESP
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Abstract: This paper aims to maximize throughput by minimizing power as possible. Scores of optimization techniques such as FFT, IFFT and memory optimization are available for reducing power of mobile OFDM systems. An approach for achieving reduction in power of MIMO OFDM system by optimizing FFT architecture is addressed in this paper. Memory references in MIMO OFDM transceivers are costly due to their long delay and high power consumption . To implement fast Fourier transform (FFT) algorithms on MIMO OFDM. The proposed FFT structure is the combination of memory reference reduction evaluated using performance parameters such as BER and SNR. In order to reduce the hardware complexity of the MIMO OFDM synchronization, this paper proposed an efficient autocorrelation scheme based on time multiplexing technique and the use of reduced samples while preserving the performance. QoS is an important consideration in networking, but it is also a significant challenge. This QoS is based on some parameter like network traffic, data loss, data collision and speed. The VLSI implementation was done using ModelSim and Xilinx .Strutural realization and analysis pertaining to timing , power, QoS highthroughput and low-cost design with high performance to detect PSS using NSD is derived in this paper.
Keywords: Low Power, Low Cost, Primary Synchronisation Signal(PSS), FFT,LTE, IFFT, Inter Symbol Interference(ISI).

Scope of the Article: High Performance Computing