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Digital Equalization for Cancellation of Noise-Like Interferences in Adaptive Spatial Filtering

机译:自适应空间滤波中消除噪声干扰的数字均衡

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Adaptive equalizer is an indispensable component of many radar systems for the cancellation of interference which arises due to mismatches in radar channels. This paper presents a reformulated LMS algorithm-based pipelined architecture of adaptive transversal equalizer that uses CORDIC as a main processing element to update angles instead of filter coefficients. In this architecture, hardware complexity has been reduced to a larger extent by utilizing pipeline method throughout the architecture. The lacuna of real-time system remains in the speed at which multiplication can be executed. We have proposed a modified version of pipelined Booth multiplier which uses partial product reduction scheme using 4-2 adder to reduce the computational time significantly. The hardware realization of the design reveals that critical path delay, area utilization and power consumption are reasonably low and therefore proposed design can be suitably be accommodated in modern-day radar system. The efficacy of the proposed interference canceller has been justified with extensive MATLAB simulations as well as hardware synthesis result for mitigation of interference in multi-channel radar systems.
机译:自适应均衡器是许多雷达系统必不可少的组件,用于消除由于雷达信道不匹配而引起的干扰。本文提出了一种基于LMS算法的重构横向自适应均衡器流水线架构,该架构以CORDIC作为主要处理元素来更新角度而不是滤波器系数。在此体系结构中,通过在整个体系结构中使用流水线方法,已在很大程度上降低了硬件复杂性。实时系统的缺陷在于可以执行乘法的速度。我们提出了流水线Booth乘法器的修改版本,该版本使用部分乘积约简方案(使用4-2加法器)来显着减少计算时间。该设计的硬件实现表明,关键路径延迟,面积利用率和功耗都相当低,因此,所提出的设计可以适合现代雷达系统。所提议的干扰消除器的功效已经通过广泛的MATLAB仿真以及用于减轻多通道雷达系统干扰的硬件综合结果得到了证明。

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