A TTD-Based Fast Precise Localization Enabled by Passive-Active Signal Combiner With Negative-Capacitance Stabilized RAMP

Fast and precise localization is one of critical requirements awaiting solutions in radar and communication systems. Spatio-spectral mapping has been proven as an effective methodology to estimate the angle-of-arrival (AoA) with low latency. In this work, we achieve a low AoA estimation error compared to prior integrated works by implementing a large delay-bandwidth (BW) product in the spatial signal processor (SSP) which correspondingly challenges the hardware design for multi-antenna analog/hybrid arrays. This work presents a two-channel 1.5-GHz BW true-time-delay (TTD)-based signal combiner with maximum 10 ns delay range demonstrating fast chirp-based source localization [also, beamtraining (BT)] for the first time. The measured AoA estimation error is significantly reduced from ±7.8° to ±1.1° with 15X increase in delay. This system-level solution is enabled by an integrated multistage switched-capacitor-array (MS-SCA) architecture including digitally controllable clock generator for large TTD, and a passive-active ring-amplifier (RAMP)-based signal combiner to overcome the BW trade-offs in conventional amplifier-based signal combiners. Further, a reduced gate-load bootstrapped switch and a negative-capacitance stabilized RAMP is proposed to support large BW operation. The proposed TTD-based MS-SCA achieves large delay-BW products of 15. The core design of this system consumes 37.3 mW/channel and 0.45 mm2 in 65 nm CMOS.

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Publication Details

Journal
IEEE Journal of Solid-State Circuits
Published
2025-03-18
DOI
https://doi.org/10.1109/jssc.2025.3546958
Citations
2
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
2.97
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article

A TTD-Based Fast Precise Localization Enabled by Passive-Active Signal Combiner With Negative-Capacitance Stabilized RAMP

Danijela Čabrić, Aditya Wadaskar, Subhanshu Gupta, Chung-Ching Lin et al.
2 citations
IEEE Journal of Solid-State Circuits
Blind Source Separation Techniques
2.97
article

A TTD-Based Fast Precise Localization Enabled by Passive-Active Signal Combiner With Negative-Capacitance Stabilized RAMP

Danijela Čabrić, Aditya Wadaskar, Subhanshu Gupta, Chung-Ching Lin, Qiuyan Xu, Huan Hu, Foad Beheshti
article en
2 citations

Abstract

Fast and precise localization is one of critical requirements awaiting solutions in radar and communication systems. Spatio-spectral mapping has been proven as an effective methodology to estimate the angle-of-arrival (AoA) with low latency. In this work, we achieve a low AoA estimation error compared to prior integrated works by implementing a large delay-bandwidth (BW) product in the spatial signal processor (SSP) which correspondingly challenges the hardware design for multi-antenna analog/hybrid arrays. This work presents a two-channel 1.5-GHz BW true-time-delay (TTD)-based signal combiner with maximum 10 ns delay range demonstrating fast chirp-based source localization [also, beamtraining (BT)] for the first time. The measured AoA estimation error is significantly reduced from ±7.8° to ±1.1° with 15X increase in delay. This system-level solution is enabled by an integrated multistage switched-capacitor-array (MS-SCA) architecture including digitally controllable clock generator for large TTD, and a passive-active ring-amplifier (RAMP)-based signal combiner to overcome the BW trade-offs in conventional amplifier-based signal combiners. Further, a reduced gate-load bootstrapped switch and a negative-capacitance stabilized RAMP is proposed to support large BW operation. The proposed TTD-based MS-SCA achieves large delay-BW products of 15. The core design of this system consumes 37.3 mW/channel and 0.45 mm2 in 65 nm CMOS.

IEEE Journal of Solid-State CircuitsVol. 60(9)
University of California, Los Angeles (US), Southern University of Science and Technology (CN), Washington State University (US)
Affordable and clean energy
Openalex Percentile: Top 11%
Blind Source Separation Techniques
2.97
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