scholarly journals LFM/PRBC Modulation Signal Parameter Estimation

2021 ◽  
Vol 2066 (1) ◽  
pp. 012053
Author(s):  
Shihong Chen
Keyword(s):  
Parameter Estimation ◽  
Frequency Modulation ◽  
Simulation Analysis ◽  
Frequency Estimation ◽  
Estimation Method ◽  
Electromagnetic Environment ◽  
Phase Code ◽  
Modulation Rate ◽  
Modulation Signal ◽  
Low Probability

Abstract Since pseudo-code phase modulation and carrier frequency modulation composite reconnaissance signals have both the good anti-interference capability and the low probability of interception, they have been widely used in electronic reconnaissance systems. This paper proposes a multi-parameter estimation method for pseudo-random binary phase code (PRBC) and linear frequency modulation (LFM) composite modulation signal in a complex electromagnetic environment. Firstly, this paper uses the square operation to remove the code phase information; secondly, we use the delay correlation and two times frequency estimation to estimate the starting frequency and the frequency modulation rate; finally, the wavelet transform algorithm is utilized to estimate the code rate parameter. Through the simulation analysis and full comparison with other methods, we can prove the performance superiority of this method under low signal-to-noise ratios (SNRs).

Parameter Estimation Method of the Non-Cooperative Radar Target Based on Fractional Fourier Transform

2013 ◽  
Vol 333-335 ◽  
pp. 611-615
Author(s):  
Hua Ling Guo ◽  
Bin Zheng ◽  
Li Ping Liu
Keyword(s):  
Fourier Transform ◽  
Parameter Estimation ◽  
Frequency Modulation ◽  
High Speed ◽  
Fractional Fourier Transform ◽  
Estimation Method ◽  
Doppler Imaging ◽  
Low Snr ◽  
Parameter Estimation Method

To solve the effect of the range imaging broadening, the speed estimation of high-speed non-cooperative target of inverse synthetic aperture lidar translated for the estimation of the frequency modulation slope. A parameter estimation method of fractional Fourier transform (FRFT) was presented. This method could effectively estimate the frequency modulation slope. Under low SNR, the error of the estimate was less than 0.03. The research laid the foundation for velocity compensation and 2-D range-Doppler imaging of the follow-up.

scholarly journals Joint Angle and Frequency Estimation in Linear Arrays Based on Covariance Reconstruction and ESPRIT

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Shihong Chen ◽  
Qingchang Tao ◽  
Zhongtian Yang ◽  
Xudong Wang ◽  
Sijia Liu ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Joint Angle ◽  
Simulation Analysis ◽  
Frequency Estimation ◽  
Estimation Method ◽  
Reliability And Validity ◽  
Estimation Accuracy ◽  
Additional Parameter ◽  
Linear Arrays ◽  
Signal Parameters

Joint angle and frequency estimation, one of the key technologies in wireless communication and radar science, has been extensively studied by scholars. For linear arrays, this paper proposes a joint angle and frequency estimation method based on covariance reconstruction and the estimation of signal parameters via rotational invariance techniques (CR-ESPRIT). We first use the received conjugate signal to reconstruct a covariance matrix. Then, we use the least squares-ESPRIT (LS-ESPRIT) algorithm to estimate the desired frequencies. Finally, we estimate the angles according to the reconstructed matrix. The proposed method can estimate signal parameters via automatic pairing and without an additional parameter pairing process under the condition of a uniform or a nonuniform array. Moreover, this method has high estimation accuracy, excellent and stable anti-noise performance, and strong algorithmic robustness. Through a computer simulation analysis, we can confirm the reliability and validity of the proposed parameter estimation method. A comparison with other methods further proves the performance advantages of the developed method. The method in this paper can be easily applied to many signal processing contexts, such as electronic reconnaissance and wireless communication.

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