Nonlinearity-Based Ranging Technique in SC-FDE Communication System With Oversampled Signals

Xi, Peng; Liu, Shouliang; Yan, Shuo

doi:10.1109/access.2019.2910754

Cited by 6 publications

(11 citation statements)

References 40 publications

(59 reference statements)

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“…In the following section, we investigate the performance of proposed ranging method for SC-FDE system in terms of estimation bias and RMSE performance under different parameters. The previous work [29] is compared as a performance reference, where the fine ranging method is,…”

Section: Resultsmentioning

confidence: 99%

“…Principal superiorities of SC-FDE over OFDM are its lower peak-to-average power ratio (PAPR) and less sensitivity to carrier-frequency offset (CFO) while achieving similar equalization performance and ranging accuracy. The data format of an unique-word based single carrier (UW-SC) system [29] is generally composed of data blocks, each preceded with an UW such that low-complexity and accurate frequency-domain channel equalization can be effectively applied. In the SC-FDE receiver architecture of some related works [30], [31], symbol timing synchronization algorithms were usually designed using the cyclic prefix or cyclic suffix sequence with one sample per symbol, following the conventional auto-correlation based timing metric in OFDM system [32]- [34].…”

Section: A Uav Communication and Positioningmentioning

confidence: 99%

“…In the SC-FDE receiver architecture of some related works [30], [31], symbol timing synchronization algorithms were usually designed using the cyclic prefix or cyclic suffix sequence with one sample per symbol, following the conventional auto-correlation based timing metric in OFDM system [32]- [34]. The fine ranging method in our previous work [29] relying on the amplitude nonlinearity of oversampled signals in SC-FDE receiver required four samples per symbol to achieve a root mean square error (RMSE) by the order of centimeter at medium-to-high signal-to-noise ratio (SNR) region for a channel bandwidth of 10 MHz. In this paper, we focus on the joint communication and propagation delaybased ranging using single carrier burst signals for networked UAVs.…”

Section: A Uav Communication and Positioningmentioning

confidence: 99%

“…Its data ports can be configured in either single-ended CMOS format with 61.44 MHz data clock or differential low voltage differential signaling (LVDS) format with 122.88 MHz. Considering this dilemma between limited analog-digital conversion (ADC) sampling clock and the requirement of increasing sampling rate, like the ranging method using four samples per symbol in broadband UAV communication [29], we devote efforts to designing enhanced ranging method in SC-FDE receivers using less samples without performance degradation.…”

Section: B Motivations and Contributionsmentioning

confidence: 99%

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Joint Range Estimation Using Single Carrier Burst Signals for Networked UAVs

Yan²,

Zhang

2021

IEEE Access

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The localization accuracy demand is ever growing in UAV communication networks. We propose a joint coarse and fine range estimation method using single carrier burst signals with two samples per symbol for UAV networks. The coarse estimation of our joint estimation method exploits multiple preamble symbols for flexible single-carrier frequency-domain equalization (SC-FDE) frame structures to calculate correlation metrics, which are insensitive to frequency offset due to the differential correlation operation. Then, we propose a fine range estimation method using only two samples per symbol with expectation relying on shaping or matched filter. Furthermore, we derive the performance bounds for the ranging system using both raised cosine (RC) and better than raised-cosine (BTRC) pulses. Finally, extensive simulations are conducted to validate the proposed method in terms of estimate bias and variance for different modulations, shaping filters, and fading channels. Our simulation results show that, the root mean square errors of proposed ranging method can reach the order of centimeter at medium-to-high signal-to-noise ratio (SNR) region, whereas the case using BTRC filter is capable of enhancing the ranging performance at low SNRs.

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Section: Resultsmentioning

confidence: 99%

Section: A Uav Communication and Positioningmentioning

confidence: 99%

Section: A Uav Communication and Positioningmentioning

confidence: 99%

Section: B Motivations and Contributionsmentioning

confidence: 99%

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Joint Range Estimation Using Single Carrier Burst Signals for Networked UAVs

Yan²,

Zhang

2021

IEEE Access

Self Cite

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show abstract

“…The discrete spectral components of the beat frequency are directly related to the signal propagation time, or equivalently, the distance between sensor and target. Therefore, most approaches in the literature exploit the frequency-domain signals to estimate a spectral component [8,9,10,11].…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Time-Domain Ranging Algorithm with FMCW Sensors

Xiang²,

Liu

et al. 2019

Sensors

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A time-domain ranging algorithm is proposed for a frequency-modulated continuous wave (FMCW) short-range radar sensor with high accuracy and low complexity. The proposed algorithm estimates the distance by calculating the ratio of the beat frequency signal to its derivative and thereby eliminates the restriction of frequency bandwidth on ranging accuracy. Meanwhile, we provide error analysis of the proposed algorithm under different distances, integral lengths, relative velocities, and signal-to-noise ratios (SNRs). Finally, we fabricate FMCW sensor prototype and construct a measurement system. Testing results demonstrate that the proposed time-domain algorithm could achieve range error within 0.8 m. Compared with the conventional fast Fourier transform (FFT) estimation scheme, the proposed method performs ranging without the requirement of complex multiplications, which makes it reasonable to be implemented in real-time and low-cost systems.

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Nonlinearity-Based Single-Channel Monopulse Tracking Method for OFDM-Aided UAV A2G Communications

Yan²,

Zhang

2019

IEEE Access

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Unmanned aerial vehicles (UAVs) have attracted great interest in rapid deployment for both civilian and military applications. The conventional UAV monopulse tracking technique requires dedicated pulses which suffer from multipath effect in air-to-ground (A2G) link with low elevation angles, whereas the orthogonal frequency division multiplexing (OFDM) for A2G high rate communication under frequency selective fading channel was not yet investigated for UAV target tracking at ground station. In this paper, we propose a single-channel monopulse tracking (SCMT) angle estimation method in OFDM tracking receiver exploiting square-and absolute-value nonlinear detection of amplitude-modulated difference signals. Extensive simulations are conducted to validate the proposed estimation method in terms of estimation range and estimation root mean squared error (RMSE). Results show that, the proposed angle estimation method exhibits S-shaped curve characteristic under different angle errors, which is insensitive to channels and modulations. The proposed method obtains angle estimation RMSEs smaller than 0.18 • for antenna element distance d = 0.5 m with 10 MHz OFDM signals. For both square-and absolute-value methods, a maximum degradation of 0.02 • for angle estimation RMSEs is observed under Rician channels compared with the estimation under additive white Gaussian noise (AWGN) channels, whereas the absolute-value estimation outperforms the square-value estimation. INDEX TERMSUAV target tracking, air-to-ground communication, single-channel monopulse tracking, OFDM signals, frequency selective fading channel, nonlinear detection. CHAOXING YAN received the Ph.D. degree in communication and information system from the

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Nonlinearity-Based Ranging Technique in SC-FDE Communication System With Oversampled Signals

Cited by 6 publications

References 40 publications

Joint Range Estimation Using Single Carrier Burst Signals for Networked UAVs

Joint Range Estimation Using Single Carrier Burst Signals for Networked UAVs

Low-Complexity Time-Domain Ranging Algorithm with FMCW Sensors

Nonlinearity-Based Single-Channel Monopulse Tracking Method for OFDM-Aided UAV A2G Communications

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