Fine Doppler Frequency Estimation of Windowed Complex Sinusoidal Signals for Radar Systems

Kim, Jong-Mann; Ko, Hyunwoo; Hong, Sungwon; Lee, Chungyong

doi:10.1109/jsen.2020.3028117

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Adaptive method-based frequency estimation can be found in many areas of digital signal processing applications [1,2], such as Doppler efect estimation of radar and sonar systems [3][4][5], clock and carrier synchronization in communication systems, angle of arrival estimation in smart antenna systems, frequency estimation in global navigation satellite systems (GNSS) [6], angle and frequency estimation in cognitive wireless systems [7][8][9], and so on. Depending on the statistical properties of the input signal frequency, say, deterministic or random, the frequency estimation can be classifed into two categories: block-based and sequentialbased estimation techniques.…”

Section: Introductionmentioning

confidence: 99%

Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Inban,

Punchalard,

Benjangkaprasert

2024

International Journal of Antennas and Propagation

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A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. The proposed technique makes use of the instantaneous phase response of a first-order complex linear predictor (CLP) as a driving function to update the frequency parameter of the CLP. The proposed PEC is attractive due to its simplicity and high impulsive noise robustness. Theoretical analysis for the mean value of the estimated frequency and the steady-state mean square error (MSE) of the frequency estimate are derived in closed forms. Computer simulations are drawn to show the performance of the proposed frequency estimator.

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Section: Introductionmentioning

confidence: 99%

Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Inban,

Punchalard,

Benjangkaprasert

2024

International Journal of Antennas and Propagation

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show abstract

“…The problem of precise and efficient frequency estimation in noisy signals, essential for signal synchronization, is pervasive in numerous domains such as power transmission [1][2][3], satellite control [4,5], mechanical systems [6,7], mobile communication [8,9], radar systems [10][11][12], and biomedical signal processing [13]. To address this issue, a multitude of strategies have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator

Wei,

Zhu,

Sun

et al. 2023

Sensors

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This research presents a comprehensive study of the dichotomous search iterative parabolic discrete time Fourier transform (Ds-IpDTFT) estimator, a novel approach for fine frequency estimation in noisy exponential signals. The proposed estimator leverages a dichotomous search process before iterative interpolation estimation, which significantly reduces computational complexity while maintaining high estimation accuracy. An in-depth exploration of the relationship between the optimal parameter p and the unknown parameter δ forms the backbone of the methodology. Through extensive simulations and real-world experiments, the Ds-IpDTFT estimator exhibits superior performance relative to other established estimators, demonstrating robustness in noisy conditions and stability across varying frequencies. This efficient and accurate estimation method is a significant contribution to the field of signal processing and offers promising potential for practical applications.

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An improved acoustic transponder system via LCCLC impedance matching network and equalization control strategy

Yang,

Zhang,

Wang

et al. 2023

IET Power Electronics

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The underwater acoustic transducer (UAT) generates a large amount of reactive power during the operation, greatly limiting the output capability of the power amplifier. It is necessary to match the UAT and improve its load characteristics. The conventional design methods are not powerful enough to solve nonlinear or parameter‐sensitive problems, lacking enough convergence ability for the network design problem. This article proposes an optimization design method for LCCLC impedance matching network based on the improved chaos optimization algorithm and the corresponding equalization control strategy. First, the impedance model of the UAT is proposed, and then the matching principle of the LCCLC network is analyzed. Based on these, the optimization design for LCCLC network is described in detail. Then, to solve the problem of the calculation of the command signal, a control method based on the FIR filter principle is proposed. Finally, the proposed methods are verified by an experimental platform. The results show that the proposed design method and its corresponding control strategy successfully solve the matching and emission problems.

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Fine Doppler Frequency Estimation of Windowed Complex Sinusoidal Signals for Radar Systems

Cited by 3 publications

References 35 publications

Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator

An improved acoustic transponder system via LCCLC impedance matching network and equalization control strategy

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