Design of an ultra-low power MFSK system in the presence of jamming

Xiang, Yi; Milstein, L.B.

doi:10.1109/milcom52596.2021.9653041

Cited by 3 publications

(13 citation statements)

References 15 publications

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“…Therefore, for a large M (e.g., for our baseline design of M = 16), B ≈ M ∆f . Since h = ∆f T = 1 was shown in [5] - [8] to yield optimal performance, the bandwidth saved by the system proposed in this paper can be represented as 1 − h.…”

Section: Demodulator Performance In An Awgn Channelmentioning

confidence: 99%

“…Other examples of the need for low power systems vary from reducing the size and weight of batteries used by foot soldiers who carry tens of pounds of equipment in their backpacks, to various low-power internet-of-things (IoT) applications that have a wide spread of applications from wearable fitness trackers to transportation, healthcare, consumer electronics and many others [1] - [3]. M -ary frequency shift keying (MFSK) modulation is used in low power communication systems for its power efficiency [4] - [8]. A novel noncoherent 4FSK high data rate and low power transceiver was introduced in [9].…”

Section: Introductionmentioning

confidence: 99%

“…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]. While we used orthogonal signaling in [5] - [8] for optimal performance, in this paper, we study the power-bandwidth tradeoff for the system proposed in [5], and we further employ Gaussian filtering to smooth the transition between symbols and reduce out-of-band spectrum.…”

Section: Introductionmentioning

confidence: 99%

“…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]. While we used orthogonal signaling in [5] - [8] for optimal performance, in this paper, we study the power-bandwidth tradeoff for the system proposed in [5], and we further employ Gaussian filtering to smooth the transition between symbols and reduce out-of-band spectrum. We show that we can save a large fraction of bandwidth at the cost of a small performance degradation, when the key parameters of the demodulator and coder are optimized for the proposed M -ary GFSK systems.…”

Section: Introductionmentioning

confidence: 99%

“…We show that we can save a large fraction of bandwidth at the cost of a small performance degradation, when the key parameters of the demodulator and coder are optimized for the proposed M -ary GFSK systems. The applications of this type of power-bandwidth tradeoff are the same as those discussed in [5] - [8], which include radios carried by foot soldiers, lightweight UAVs and small IoT devices.…”

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: Demodulator Performance In An Awgn Channelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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On the Use of FFH-MFSK for Ultra-Low Power Communications in a Jamming Environment

Xiang

Milstein

2023

IEEE Access

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We are interested in a communication system that operates in the presence of an intelligent jammer, under stringent power constraints, but with flexible bandwidth constraints. We optimize some of the key elements in the transceiver design for low power consumption, and thus high complexity components of the system, such as matched filters (MF), forward error correction (FEC) that employs iterative decoders, coherent demodulators, and bandwidth-efficient modulation formats, are not feasible for this research. Rather, our system is designed using M -ary frequency shift keying (MFSK) with non-coherent detection and fast frequency hopping (FFH), optimized two-pole bandpass filters (BPF), and Reed-Solomon (RS) codes with hard-decision decoding. Among other things, we show that by properly optimizing the key parameters of the BPFs and RS codes, we can design the system to be significantly less complex than the MF system with a performance loss of less than 1.4 dB for most scenarios that we considered. Further, the 2-pole BPF system can actually outperform the corresponding MF system by up to 2.4 dB in the presence of multi-tone jamming.INDEX TERMS M -ary FSK, multipath fading, ultra-low power-consumption, non-coherent detection, low-complexity filtering, fast frequency-hopping, partial-band noise jamming, multi-tone jamming, Reed-Solomon codes.

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Performance analysis of spatial multiplexing MIMO-MFSK based on energy detection for fast-fading environments

Qiu

Zheng

et al. 2022

J Wireless Com Network

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In fast-fading scattering environments such as high-speed rail and low-altitude communications, mobile communication systems need to quickly and robustly estimate and equalize fast-fading, time-varying channels. Under these circumstances, noncoherent multiple-input multiple-output (MIMO) has received attention in recent years, since it is less influenced by factors such as phase fluctuations and has fewer requirements for channel estimation and synchronization. Spatial multiplexing MIMO-MFSK based on energy detection is different from conventional noncoherent MIMO in that it can achieve higher spatial multiplexing gain in the independent distribution of channel fading statistics. At the receiver, partial real channel state information (CSI) is available, which can improve the capacity while ensuring the reliability of the link. With partial real CSI replacing instantaneous CSI, the system performance is inferior to conventional coherent MIMO under the influence of noise. As a result, it is necessary to analyze its theoretical detection performance. By energy detection, the noise of the MIMO-MFSK system conforms to the generalized gamma distribution. On the basis of this distribution, the optimal decision rule of the system and the symbol error rate (SER) formula are derived. Additionally, we investigate the signal-dependent noise problem of minimum Euclidean distance detection. Numerical results show that the SER formula fits well with the simulation results under the condition of a high signal-to-noise ratio.

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Design of an ultra-low power MFSK system in the presence of jamming

Cited by 3 publications

References 15 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

On the Use of FFH-MFSK for Ultra-Low Power Communications in a Jamming Environment

Performance analysis of spatial multiplexing MIMO-MFSK based on energy detection for fast-fading environments

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