Abstract
In this paper, a method of angle error extraction for binary phase-shift keying (BPSK) modulated signals based on instantaneous autocorrelation is proposed for the monopulse angle tracking problem of BPSK signal under a low bit signal to noise ratio (SNR). It reduces the effect of noise on the angle error extraction efficiently by using the characteristics of the instantaneous autocorrelation of noise. The effectiveness and reliability of the theoretical algorithm are proved by MATLAB simulation. As simulation results shown, this method has a good performance under ideal Gaussian noise background. When bit SNR is greater than 2dBHz, the relative error of the estimation results can be less than 5%.
Highlights
The angle error extraction of binary phase-shift keying (BPSK) signal is a process of computing the ratio between the amplitude of sum signal and different signal by a series of signal processing [1, 2]
Aimed at solving the problems of angle error extraction under low signal to noise ratio (SNR) conditions and estimation precision seriously affected by correlated noise in sum and different signals, this paper carry out a method to implement the angle error extraction of BPSK signal under a low SNR based on instantaneous autocorrelation signal processing
This paper provides a method of angle error extraction based on instantaneous autocorrelation
Summary
The angle error extraction of BPSK signal is a process of computing the ratio between the amplitude of sum signal and different signal by a series of signal processing [1, 2]. The second one is based on I/Q processor [5], that is, by using a PLL to recover the carrier as a local oscillation signal to finish the synchronous detection with which the amplitude modulated information can be recovered to estimate the angle error This method is a coherent demodulation with a lower threshold than former one and has a widely use in digital monopulse receivers. It will be seriously affected by correlated noise in sum and different signals and the precision of angle error estimations will worsen quickly under a low SNR. Aimed at solving the problems of angle error extraction under low SNR conditions and estimation precision seriously affected by correlated noise in sum and different signals, this paper carry out a method to implement the angle error extraction of BPSK signal under a low SNR based on instantaneous autocorrelation signal processing
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