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High frequency low carrier-to-noise ratio weak binary phase shift keying (BPSK) signal detection method based on chaos theory and dynamic multi-dimension application system

A technology of chaos theory and application system, applied in transmission systems, digital transmission systems, security communication devices, etc., can solve the problem of low bit error rate demodulation of high frequency BPSK, high carrier-to-noise ratio threshold, and unsatisfactory high-frequency signal detection and other problems, to achieve the effect of improving detection accuracy, low frequency measurement error and decoding bit error rate, and low threshold.

Inactive Publication Date: 2012-11-07
HARBIN INST OF TECH
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Problems solved by technology

[0004] In order to solve the problem that the traditional linear method has a high carrier-to-noise ratio threshold requirement (usually -10dB), the detection and reception of high-frequency signals is not ideal, it cannot adapt to the requirements of modern communication, and it cannot achieve a low-cost The problem of bit error rate demodulation of high-frequency BPSK, thus proposing a detection method of high-frequency low carrier-to-noise ratio weak BPSK signal based on chaos theory and dynamic multi-dimensional application system

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  • High frequency low carrier-to-noise ratio weak binary phase shift keying (BPSK) signal detection method based on chaos theory and dynamic multi-dimension application system
  • High frequency low carrier-to-noise ratio weak binary phase shift keying (BPSK) signal detection method based on chaos theory and dynamic multi-dimension application system
  • High frequency low carrier-to-noise ratio weak binary phase shift keying (BPSK) signal detection method based on chaos theory and dynamic multi-dimension application system

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specific Embodiment approach 1

[0020] Specific implementation mode 1. Combination figure 1 and 2 Specifically illustrate the present embodiment, the high-frequency low carrier-to-noise ratio weak BPSK signal detection method based on chaos theory and dynamic multi-dimensional application system described in the present embodiment, it comprises the following steps:

[0021] Step 1. The BPSK signal transmission module outputs the BPSK signal to be tested to the detection BPSK signal module of the detection BPSK signal model group. The detection BPSK signal module saves the detection BPSK signal in the default directory according to time series. The detection BPSK signal model group includes Detect BPSK signal module, Duffin frequency measurement model and Duffin demodulation model, perform step 2;

[0022] Step 2. The BPSK signal detection module sequentially inputs each segment of the BPSK signal to the Duffin frequency measurement model, and performs the following processing for each segment of the BPSK si...

specific Embodiment approach 2

[0033] Specific embodiment two, the difference between this embodiment and the high-frequency low carrier-to-noise ratio weak BPSK signal detection method based on chaos theory and dynamic multi-dimensional application system described in specific embodiment one is that the detection BPSK signal module described in step one is The measurement frequency of the BPSK signal frequency to be tested is in the order of 108Hz, and the frequency range is between 225MHZ and 400MHz.

[0034] The invention can realize the detection of the BPSK signal model group to measure the frequency of the BPSK signal to be measured at the level of 108 Hz, and the detection of the BPSK signal with a carrier-to-noise ratio lower than 0 dB.

specific Embodiment approach 3

[0035] Embodiment 3. The difference between this embodiment and the method for detecting weak BPSK signals with high frequency and low carrier-to-noise ratio based on chaos theory and dynamic multi-dimensional application system described in Embodiment 1 is that the threshold in step 25 is 1.2.

[0036] image 3 It is a schematic diagram of the BPSK signal generation interface of the high-frequency low carrier-to-noise ratio weak BPSK signal detection software based on chaos theory and dynamic multi-dimensional application system.

[0037] Figure 4 It is a schematic diagram of the demodulation process interface of the high-frequency low-carrier-to-noise ratio BPSK signal in the strong noise background detected by the present invention using nonlinear theory. As shown in the figure, the user first needs to find the default directory, open the stored file of the BPSK signal to be demodulated, click the detection and decoding button on the interface, and the system will automat...

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Abstract

A high frequency low carrier-to-noise ratio weak binary phase shift keying (BPSK) signal detection method based on the chaos theory and a dynamic multi-dimension application system aims at resolving the problem that a traditional method is high in detection signal carrier-to-noise ratio threshold and not ideal in high frequency signal detection, cannot meet modern communication requirements and cannot demodulate high frequency BPSK with low bit error ratio. A BPSK signal transmitting module outputs BPSK signals to be measured to a detection BPSK signal model group to detect a BPSK signal module, a detection BPSK signal module stores the BPSK signals to be measured in a default catalogue in subsection mode and sequentially inputs each section of BPSK signals to a doffing frequency measuring model to process each section of BPSK signals, and corresponding code elements of each section of BPSK signals are sequentially stored and displayed in order according to time sequence.

Description

technical field [0001] The invention relates to a BPSK signal detection method, in particular to a high-frequency low carrier-to-noise ratio weak BPSK signal detection method based on chaos theory and a dynamic multi-dimensional application system. Background technique [0002] An important task of information science is to obtain the real information of the objective world. However, for any system, there must be noise, and when the measured signal is relatively weak and submerged in a strong noise background, it is difficult to extract the real signal, so The problem of how to extract the useful signal submerged in the noise has attracted more and more attention. Especially in modern military battlefields, the transmitted signal is often of high frequency. In addition, in order to make the signal difficult to be intercepted, the communication signal is usually hidden in the noise with a very low carrier-to-noise ratio for transmission. [0003] At present, the conventional...

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Application Information

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IPC IPC(8): H04B17/00H04L1/00H04L9/00
Inventor 石硕刘元芳徐立振华伊杨泽坤许恩伟顾学迈刘宁庆
Owner HARBIN INST OF TECH
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