Parameter Estimation Technique for the SNCK Scheme Based on the Spectral-Correlation Density

Sun, Zhiguo; Tian, Danyang; Ning, Xiaoyan; Yamao, Yasushi

doi:10.1007/s11277-015-2296-3

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…There are many methods of spectral density calculation been proposed, namely as Robust Spectral Density Estimation (RSDE), Independent Component Analysis (ICA), Multitaper Power Spectral Density Estimation (MPSDE), Low-complexity Welch Power Spectral Density (LCWPSD), B-Spline Windows Power Spectral Density Estimation and etc. [1][2][3][4][5][6][7][8][9][10][11][12][13]. Among the method listed, LCWPSD is the most suitable for biosensor processing.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

Jun¹,

Jambek²,

Hashim³

2019

Bulletin EEI

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The aim of this paper is to investigate the performance of the Low Complexity Welch Power Spectral Density Computation (PSDC). This algorithm is an improvement from Welch PSDC method to reduce the computational complexity of the method. The effect of the sampling rate and the input frequency toward to accuracy of frequency detection is being evaluated. From the experiment results, sampling rate nearest to the twice of the input frequency provides the highest accuracy which achieved 99%. The ability of the algorithm to perform complex signal also has been investigated.

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Section: Introductionmentioning

confidence: 99%

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

Jun¹,

Jambek²,

Hashim³

2019

Bulletin EEI

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“…The characteristics above result in timely side lobe suppression [2]. Therefore, the S-NLFM signal is widely utilized in all types of wireless applications [3], [4]. Studies on the wave design and performance analysis of S-NLFM signal in the past several years have attracted proper attentions [2], [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…The sampling frequency is 200 MHz. The initial frequency is assumed to be 0 37 f  MHz, and the coefficients () Kmare similar to those in(3). The coefficients of tangent-based S- .…”

mentioning

confidence: 99%

Analysis and Detection of S-Shaped NLFM Signal Based on Instantaneous Frequency

Song¹,

Gao²,

Gao³

2015

jcm

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The characteristics typical S-shaped Nonlinear Frequency Modulation (S-NLFM) signal are analyzed, and a detection method for this type of signal is also proposed. First of all, the instantaneous frequency of the S-NLFM signal based on sinusoid modulation and tangent modulation is obtained by phase unwrapping respectively. Then, two characteristics are obtained from instantaneous frequency. Consequently, a recognition method is proposed based on the two characteristics obtained in the previous step. At last, the detection method for the S-NLFM signal is implemented. Simulation results indicate that the proposed method is robust and the detection rate is more than 90% under an SNR condition of 0 dB or higher regardless of the modulation parameters.

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“…In contrast, sine chirp signals can be used in many communication and related fields, including ultrasonic positioning [19]. The parameter estimation of sine chirp signal is proposed by the researcher in [20] while, to determine time-frequency bandwidth product authors in [21] proposed discrete sinusoidal frequency modulation transform. Sine chirp as a carrier is implemented for conventional terrestrial communication by the authors in [22], 23.…”

mentioning

confidence: 99%

M-ary nonlinear sine chirp spread spectrum for underwater acoustic communication based on virtual time-reversal mirror method

Liu¹,

Zuberi²,

Farooq³

et al. 2021

J Wireless Com Network

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Linear chirp spread spectrum technique is widely used in underwater acoustic communication because of their resilience to high multipath and Doppler shift. Linear frequency modulated signal requires a high spreading factor to nearly reach orthogonality between two pairs of signals. On the other hand, nonlinear chirp spread spectrum signals can provide orthogonality at a low spreading factor. As a result, it improves spectral efficiency and is more insensitive to Doppler spread than the linear counterpart. To achieve a higher data rate, we propose two variants (half cycle sine and full cycle sine) of the M-ary nonlinear sine chirp spread spectrum technique based on virtual time-reversal mirror (VTRM). The proposed scheme uses different frequency bands to transmit chirp, and VTRM is used to improve the bit error rate due to high multipath. Its superior Doppler sensitivity makes it suitable for underwater acoustic communication. Furthermore, the proposed method uses a simple, low-power bank of matched filters; thus, it reduces the overall system complexity. Simulations are performed in different underwater acoustic channels to verify the robustness of the proposed scheme.

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Parameter Estimation Technique for the SNCK Scheme Based on the Spectral-Correlation Density

Cited by 3 publications

References 7 publications

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

Analysis and Detection of S-Shaped NLFM Signal Based on Instantaneous Frequency

M-ary nonlinear sine chirp spread spectrum for underwater acoustic communication based on virtual time-reversal mirror method

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