A Multi-Band Segmentation and Aggregation Method for Spread Spectrum Signal

Abstract

The invention discloses a method for realizing multi-band segmentation and aggregation of a spread spectrum signal. The method adopts a linear frequency modulation continuous wave (LFMCW) spread spectrum signal to carry out frequency spectrum segmentation and aggregation, multiplication processing in a time domain is only needed in a segmentation or aggregation stage, and the frequency spectrum segmentation of the LFMCW signal in the time domain comprises a method of multiplying a segmentation position of a time domain signal and the time domain by a filter and a method of carrying out re-aggregation on an LFMCW receiving signal. According to the method for frequency spectrum segmentation and aggregation of the spread spectrum signal, the fragment idle channel resources can be fully utilized; interference channels are avoided; the confidentiality of a transmission process is improved, and the signal is prevented from being intercepted in the air; and by adopting the method, a strong anti-interference characteristic, an anti-interception capability, a cognitive radio function suitable for an idle channel, and high interference resistance and high demodulation robustness under a condition of low modulation rate can be realized.

Description

technical field [0001] The invention relates to a method for realizing multi-band segmentation and aggregation of spread spectrum signals such as Linear Frequency Modulated Continuous Wave (LFMCW, often abbreviated as FMCW), which is applied to the fields of high anti-jamming communication, anti-interception communication, cognitive radio and the like. Background technique [0002] The spectrum segmentation and aggregation technology of communication signals is not only a key technology to adapt to spectrum resources in cognitive radio, but also an effective means to resist interception at the communication physical layer. Through the scrambling and rearranging of the original signal on the spectrum, and the interpolation of the spectrum, it is difficult to intercept and identify the physical layer signal. [0003] Spread spectrum signals mainly include direct sequence spread spectrum (DS) and frequency hopping (FH), which also play the role of anti-jamming and anti-intercep...

AI Technical Summary

Problems solved by technology

For DS signals, the method of coherent detection is generally adopted. In the signal re-aggregation algorithm, the phase consistency requirements of each sub-spectrum signal are high, and the phase recovery performance in a high-interference environment is difficult to guarantee, and the FFT / IFFT used in spectrum segmentation and aggregation The algorithm is also susceptible to interference, and the DS signal is also affected by the near-far effect

For the FH signal, because it jumps randomly on a large frequency spectrum, it has a strong ability to resist near-far effects, but for fixed multi-band narrow-band interference, there will be more bit errors

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