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A 260 MHz IF Sampling Bit-Stream Processing Digital Beamformer With an Integrated Array of Continuous-Time Band-Pass - Modulators | IEEE Journals & Magazine | IEEE Xplore

A 260 MHz IF Sampling Bit-Stream Processing Digital Beamformer With an Integrated Array of Continuous-Time Band-Pass \Delta \Sigma Modulators


Abstract:

We propose an ADC-digital codesign approach to IF sampling digital beamforming (DBF) that combines continuous-time bandpass ΔΣ modulators (CTBPDSMs) and bit-stream proces...Show More

Abstract:

We propose an ADC-digital codesign approach to IF sampling digital beamforming (DBF) that combines continuous-time bandpass ΔΣ modulators (CTBPDSMs) and bit-stream processing (BSP). This approach enables power-and area-efficient DBF by removing the need for digital multipliers and multiple decimators. The prototype beamformer digitizes eight 260 MHz IF signals at 1040 MS/s with eight CTBPDSMs, and performs digital down conversion and phase shifting with only multiplexers directly on the undecimated CTBPDSM outputs. With two sets of phase shifters, the prototype simultaneously forms two independent beams. Each phase shifter is controlled by a 12 bit programmable complex weight to provide a total of 240 phase-shift steps. By constructively combining inputs from eight elements, an 8.9 dB SNDR improvement is achieved, resulting in an array SNDR of 63.3 dB over a 10 MHz bandwidth. Fabricated in 65 nm CMOS, the eight-element two-beam prototype beamformer is the first IC implementation of IF sampling DBF. It occupies 0.28 mm2, and consumes 123.7 mW.
Published in: IEEE Journal of Solid-State Circuits ( Volume: 51, Issue: 5, May 2016)
Page(s): 1168 - 1176
Date of Publication: 14 January 2016

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I. Introduction

Beamforming in receivers performs spatial filtering of incoming signals. This spatial filtering separates a desired signal from interferers from different locations. In particular, spatial filtering is useful when the interferer frequency is close to the frequency of the desired signal because frequency domain filtering is not helpful [1]. In addition, beamforming improves the SNR of the received signal by 3 dB for each, doubling the number of antenna elements. More elements give a narrower beamwidth and a larger SNDR improvement. However, power consumption, area, and routing complexity have been bottlenecks in the implementation of efficient beamforming systems.

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References

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