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

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• 作者：Amritakar Mandal ; Rajesh Mishra
• 关键词：Interference canceller ; LMS algorithm ; CORDIC algorithm ; Transversal equalizer ; Spatial filtering ; Radar
• 刊名：Circuits, Systems, and Signal Processing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：36
• 期：2
• 页码：675-702
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Circuits and Systems; Electrical Engineering; Signal,Image and Speech Processing; Electronics and Microelectronics, Instrumentation;
• 出版者：Springer US
• ISSN：1531-5878
• 卷排序：36

文摘

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.