An Ultra Low-Power Neuromorphic Bandpass Filter for Autonomous Cars

Raunak Borwankar, Keval Vora, Anurag Desai, Reinhold Ludwig, Mohammad Haider, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


An ultra low power neuromorphic bandpass filter (BPF) for dedicated short range communication system is proposed. The filter is designed for an intermediate frequency receiver for a passband of 75 MHz with 37.5 MHz center frequency. In an effort to improve the filter performance without compromising power consumption; a standard Rm-C BPF structure is incorporated within the modified Izhikevich neuron to design the neuromorphic bandpass filter. Implemented in 45 nm CMOS technology, the proposed bandpass filter consumes 100.8 nW at a supply voltage of 0.5 V. The neuromorphic bandpass filter demonstrates excellent figure-of-merit (FOM) of -181.5 dB for a spurious free dynamic range of 27.1 dBm.
Original languageEnglish (US)
Title of host publicationIEEE MTT-S International Microwave Symposium Digest
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781728113098
StatePublished - Jun 1 2019
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13


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