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JSSC 2020第11期RF & Wireless65nmNeural Network Accelerator

Integrated Self-Adaptive and Power-Scalable Wideband Interference Cancellation f

提出一种自适应宽带干扰消除技术，支持MIMO阵列功率可调，实现微秒级快速适应。
0.5-to-2.5-GHz, 20-MHz BW, >20-dB干扰消除, 14 mW功耗, 1 µs适应时间
宽带干扰消除自适应MIMO全双工CMOS
▸集成LMS自适应电路与宽带RF/模拟干扰消除器，降低系统复杂度和功耗
▸数字可调跨导和耦合强度，实现功耗与噪声系数的权衡
▸支持全双工MIMO接收机的自干扰和交叉干扰同时消除
Abstract
A wideband analog/RF interference cancellation technique that is able to autonomously adapt itself to time- varying interference channels and to scale its dc power based on the number of multiple-input–multiple-output (MIMO) array elements is presented. Least-mean square (LMS) adaptive cir- cuitry is co-designed with and partially embedded in a wideband RF/analog interference canceller and a gain-boosted mixer-first receiver (RX), significantly reducing the system complexity and dc power while ach