A 0.6-mW 16-FSK Receiver Achieving a Sensitivity of −103 dBm at 100 kb/s

Nikoofard, Ali; Abbasizadeh, Hamed; Mercier, Patrick P.

doi:10.1109/jssc.2020.3045382

Cited by 14 publications

(5 citation statements)

References 20 publications

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“…In previous work [5], [6], the authors addressed the design and performance analysis of an ultra-low power 16-FSK system, where they showed the performance degradation between the proposed system and the optimal system was no greater than 1.2 dB, in an AWGN or a Rician/Rayleigh fading channel. In this paper, we further showed that we could potentially save a large fraction of total system bandwidth at the cost of a small extra performance loss by decreasing the tone spacing and optimizing key parameters including filter bandwidth, sampling time and code dimension.…”

Section: Discussionmentioning

confidence: 99%

“…In [5], we addressed the design and performance analysis of an ultra-low power communications system that uses MFSK signaling with matched filters replaced by 2-pole BPFs, where our baseline design was M = 16 to take advantage of the power efficiency of MFSK for large M . An application of that system was shown in [6], where the maximum total power consumption, including both transmission power and circuit power, was limited to 1mW, the data rate had to be at least 100kb/sec, the distance between the transmitter and receiver had to be at least 1 km, and the uncoded bit error rate (BER) could not exceed 0.001, over an AWGN channel. We further extended the results to include fast frequency hopping and multiple types of intentional jamming, such as partial-band jamming (PBJ) and multi-tone jamming (MTJ) while keeping the assumption of ultra-low power consumption in [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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Power-Bandwidth Tradeoff for Ultra-Low Power MFSK and G-MFSK Systems

Xiang

Milstein

2023

IEEE Access

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In one of our previous papers, we designed an ultra-low power non-coherent MFSK system using 2-pole bandpass filters to replace matched filters for detection and showed the performance loss between our proposed system and the optimal MFSK system using matched filters for detection was no greater than 1.2 dB in all alphabet size, phase continuity and channel conditions we analyzed. In this paper, we improve our previous design by considering the power-bandwidth tradeoff, and we show that we can save a large percentage of system bandwidth by sacrificing a small amount of power, when the demodulator and coding parameters are optimized. For example, we can save 50% of system bandwidth at the cost of 1 dB loss in performance compared to our previous system design. We further extend the results to include Gaussian filtering, we quantify the performance loss as a function of both the system bandwidth saved and the time-bandwidth product of the Gaussian filter, and we compare the performance of the M -ary GFSK system with the corresponding MFSK system.INDEX TERMS M -ary FSK, M -ary GFSK, multipath fading, ultra-low power-consumption, non-coherent detection, low-complexity filtering, Reed-Solomon codes.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power-Bandwidth Tradeoff for Ultra-Low Power MFSK and G-MFSK Systems

Xiang

Milstein

2023

IEEE Access

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“…Obviously, this approach requires the use of a radio frequency wake up circuitry and an antenna. In addition to the area increase on the printed circuit board (PCB) and the antenna orientation problems [ 28 ], its power consumption must be taken in consideration [ 29 ], and, in particular, its quiescent current [ 30 ].…”

Section: System Descriptionmentioning

confidence: 99%

A New Method for Gaining the Control of Standalone Underwater Sensor Nodes Based on Power Supply Sensing

García

Montiel–Nelson

Bautista

et al. 2021

Sensors

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In this paper, a new method for gaining the control of standalone underwater sensor nodes based on sensing the power supply evolution is presented. Underwater sensor networks are designed to support multiple extreme scenarios such as network disconnections. In those cases, the sensor nodes involved should go into standalone, and its wired and wireless communications should be disabled. This paper presents how to exit from the standalone status and enter into debugging mode following a practical ultra-low power design methodology. In addition, the discharge and regeneration effects are analyzed and modeled to minimize the error using the sensor node self measurements. Once the method is presented, its implementation details are discussed including other solutions like wake up wireless modules or a pin interruption solution. Its advantages and disadvantages are discussed. The method proposed is evaluated with several simulations and laboratory experiments using a real aquaculture sensor node. Finally, all the results obtained demonstrate the usefulness of our new method to gain the control of a standalone sensor node. The proposal is better than other approaches when the hibernation time is longer than 167.45 μs. Finally, our approach requires two orders of magnitude less energy than the best practical solution.

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“…The frequency shift keying (FSK) modulation [1]- [4] plays a significant role in wireless communication applications for the present and future technological demands [5]- [9], [10]- [13]. In wireless sensor networks, millions of devices and sensors are seamlessly connected together over limited spectral bandwidth.…”

Section: Introductionmentioning

confidence: 99%

A 27-MHz frequency shift keying wireless system resilient to in-band interference for wireless sensing applications

Boonrungruedee

Khumsat²

2023

IJECE

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<span lang="EN-US">A 27-MHz wireless system with binary frequency shift keying (BFSK) modulation at 400-kHz is reported. The receiver has been designed to handle in-band interference corrupting the BFSK signal with the use of complex filters and amplitude comparison method. The BFSK modulation is carried out with a voltage-controlled oscillator before up-converting with a 27-MHz local oscillator. The bipolar junction transistors (BJT-based) power amplifier with 30% efficiency pumps 220 mW into a spiral antenna. The inductive-degenerated low-noise amplifier with a voltage of more than 30 dB amplifies an incoming signal before feeding into a mixer for complex direct down conversion. With deliberate Gaussian interference injection, the minimum ratios between the signal with interference and the interference only at the distance of 2.5, 10 and 15 m are 3.3, 8.5 and 11.5 dB, respectively at a maximum data rate of 20 kbps. Without any interference included, the system can achieve a data rate of 40 kbps at the maximum transmission distance of 15 m. Conceptually agreed with the presented bit-error-rate (BER) analysis, the BER measurements with Gaussian and single-tone/two-tone in-band interferences also confirm superiority offered by the amplitude comparison method where the signal-to-noise ratio is at 1 dB for BER=10<sup>-3</sup> at 10 kbps (10 dB better than the phase detection counterpart).</span>

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A 0.6-mW 16-FSK Receiver Achieving a Sensitivity of −103 dBm at 100 kb/s

Cited by 14 publications

References 20 publications

Power-Bandwidth Tradeoff for Ultra-Low Power MFSK and G-MFSK Systems

Power-Bandwidth Tradeoff for Ultra-Low Power MFSK and G-MFSK Systems

A New Method for Gaining the Control of Standalone Underwater Sensor Nodes Based on Power Supply Sensing

A 27-MHz frequency shift keying wireless system resilient to in-band interference for wireless sensing applications

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