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FPGA Implementation of the Binary Pulse Compression Sequences with Good Merit factor

机译:具有优异性能的二进制脉冲压缩序列的FPGA实现

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This paper describes the FPGA implementation for the Binary Pulse Compression Sequences based on Merit Factor using an efficient VLSI architecture. The Proposed architecture is a novel and efficient architecture as it identifies the good binary pulse compression sequences based on Merit factor. So far, no known hardware architecture was reported in the literature for the identification of good Pulse Compression sequence. Binary codes have been widely used in radar and communication areas, but the synthesis of Binary codes with good Merit Factor is a nonlinear multivariable optimization problem, which is usually difficult to tackle. To get the solution of above problem many global optimization algorithms like genetic algorithm, simulated annealing, and tunneling algorithm were reported in the literature. However, there is no guarantee to get global optimum point. In this paper, a novel and efficient VLSI architecture is proposed to design Binary Pulse compression sequences with good Merit Factor. The VLSI architecture is implemented on the Field Programmable Gate Array (FPGA) as it provides the flexibility of reconfigurability and reprogramability. The implemented architecture overcomes the drawbacks of non guaranteed convergence of the earlier optimization algorithms.
机译:本文使用高效的VLSI架构描述了基于优点因子的二进制脉冲压缩序列的FPGA实现。提议的体系结构是一种新颖且有效的体系结构,因为它基于优点因子识别良好的二进制脉冲压缩序列。迄今为止,文献中没有报道用于识别良好脉冲压缩序列的已知硬件架构。二进制代码已广泛应用于雷达和通信领域,但是具有优异性能因子的二进制代码的合成是一个非线性的多变量优化问题,通常很难解决。为了解决上述问题,文献中报道了许多全局优化算法,例如遗传算法,模拟退火算法和隧穿算法。但是,不能保证获得全局最优点。本文提出了一种新颖高效的VLSI架构,以设计具有优良品质因数的二进制脉冲压缩序列。 VLSI体系结构在现场可编程门阵列(FPGA)上实现,因为它提供了可重配置和可重编程的灵活性。所实现的架构克服了较早的优化算法不能保证收敛的缺点。

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