Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing Article Swipe

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Rajat Bhattacharjya , Alish Kanani , Atul Kumar , Manoj Nambiar , M Girish Chandra , Rekha Singhal ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2312.00176

In recent times, orthogonal frequency-division multiplexing (OFDM)-based radar has gained wide acceptance given its applicability in joint radar-communication systems. However, realizing such a system on hardware poses a huge area and power bottleneck given its complexity. Therefore it has become ever-important to explore low-power OFDM-based radar processors in order to realize energy-efficient joint radar-communication systems targeting edge devices. This paper aims to address the aforementioned challenges by exploiting approximations on hardware for early design space exploration (DSE) of trade-offs between accuracy, area and power. We present Ellora, a DSE framework for incorporating approximations in an OFDM radar processing pipeline. Ellora uses pairs of approximate adders and multipliers to explore design points realizing energy-efficient radar processors. Particularly, we incorporate approximations into the block involving periodogram based estimation and report area, power and accuracy levels. Experimental results show that at an average accuracy loss of 0.063% in the positive SNR region, we save 22.9% of on-chip area and 26.2% of power. Towards achieving the area and power statistics, we design a fully parallel Inverse Fast Fourier Transform (IFFT) core which acts as a part of periodogram based estimation and approximate the addition and multiplication operations in it. The aforementioned results show that Ellora can be used in an integrated way with various other optimization methods for generating low-power and energy-efficient radar processors.

Related Topics

Computer Science

Orthogonal Frequency-Division Multiplexing

Radar

Electronic Engineering

Electrical Engineering

Concepts

Computer science Orthogonal frequency-division multiplexing Radar Electronic engineering Fast Fourier transform Bottleneck Pipeline (software) Power (physics) Efficient energy use Energy (signal processing) Real-time computing Computer engineering Algorithm Telecommunications Embedded system Engineering Electrical engineering Mathematics Channel (broadcasting) Statistics Programming language Physics Quantum mechanics

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2312.00176
PDF: https://arxiv.org/pdf/2312.00176
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4389325535

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DOI: https://doi.org/10.48550/arxiv.2312.00176

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Title: Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-11-30

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Authors: Rajat Bhattacharjya, Alish Kanani, Atul Kumar, Manoj Nambiar, M Girish Chandra, Rekha Singhal

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Landing page: https://arxiv.org/abs/2312.00176

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PDF URL: https://arxiv.org/pdf/2312.00176

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Concepts: Computer science, Orthogonal frequency-division multiplexing, Radar, Electronic engineering, Fast Fourier transform, Bottleneck, Pipeline (software), Power (physics), Efficient energy use, Energy (signal processing), Real-time computing, Computer engineering, Algorithm, Telecommunications, Embedded system, Engineering, Electrical engineering, Mathematics, Channel (broadcasting), Statistics, Programming language, Physics, Quantum mechanics

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abstract_inverted_index.adders	104
abstract_inverted_index.become	39
abstract_inverted_index.design	73, 109, 167
abstract_inverted_index.gained	9
abstract_inverted_index.points	110
abstract_inverted_index.power.	83, 158
abstract_inverted_index.recent	1
abstract_inverted_index.report	127
abstract_inverted_index.system	23
abstract_inverted_index.times,	2
abstract_inverted_index.Ellora,	86
abstract_inverted_index.Fourier	173
abstract_inverted_index.Inverse	171
abstract_inverted_index.Towards	159
abstract_inverted_index.address	62
abstract_inverted_index.average	139
abstract_inverted_index.between	79
abstract_inverted_index.explore	42, 108
abstract_inverted_index.levels.	132
abstract_inverted_index.methods	212
abstract_inverted_index.on-chip	153
abstract_inverted_index.present	85
abstract_inverted_index.realize	50
abstract_inverted_index.region,	148
abstract_inverted_index.results	134, 197
abstract_inverted_index.systems	54
abstract_inverted_index.various	209
abstract_inverted_index.However,	19
abstract_inverted_index.accuracy	131, 140
abstract_inverted_index.addition	189
abstract_inverted_index.devices.	57
abstract_inverted_index.hardware	25, 70
abstract_inverted_index.parallel	170
abstract_inverted_index.positive	146
abstract_inverted_index.systems.	18
abstract_inverted_index.Therefore	36
abstract_inverted_index.Transform	174
abstract_inverted_index.accuracy,	80
abstract_inverted_index.achieving	160
abstract_inverted_index.framework	89
abstract_inverted_index.involving	122
abstract_inverted_index.low-power	43, 215
abstract_inverted_index.pipeline.	98
abstract_inverted_index.realizing	20, 111
abstract_inverted_index.targeting	55
abstract_inverted_index.OFDM-based	44
abstract_inverted_index.acceptance	11
abstract_inverted_index.bottleneck	32
abstract_inverted_index.challenges	65
abstract_inverted_index.estimation	125, 185
abstract_inverted_index.exploiting	67
abstract_inverted_index.generating	214
abstract_inverted_index.integrated	206
abstract_inverted_index.operations	192
abstract_inverted_index.orthogonal	3
abstract_inverted_index.processing	97
abstract_inverted_index.processors	46
abstract_inverted_index.trade-offs	78
abstract_inverted_index.approximate	103, 187
abstract_inverted_index.complexity.	35
abstract_inverted_index.exploration	75
abstract_inverted_index.incorporate	117
abstract_inverted_index.multipliers	106
abstract_inverted_index.periodogram	123, 183
abstract_inverted_index.processors.	114, 219
abstract_inverted_index.statistics,	165
abstract_inverted_index.(OFDM)-based	6
abstract_inverted_index.Experimental	133
abstract_inverted_index.multiplexing	5
abstract_inverted_index.optimization	211
abstract_inverted_index.Particularly,	115
abstract_inverted_index.applicability	14
abstract_inverted_index.incorporating	91
abstract_inverted_index.aforementioned	64, 196
abstract_inverted_index.approximations	68, 92, 118
abstract_inverted_index.ever-important	40
abstract_inverted_index.multiplication	191
abstract_inverted_index.energy-efficient	51, 112, 217
abstract_inverted_index.frequency-division	4
abstract_inverted_index.radar-communication	17, 53
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	6
sustainable_development_goals[0].id	https://metadata.un.org/sdg/7
sustainable_development_goals[0].score	0.8999999761581421
sustainable_development_goals[0].display_name	Affordable and clean energy
citation_normalized_percentile