Satellite-borne AIS/ADS-B collision signal separation method based on Hessian matrix pre-estimation

Abstract

The invention discloses a satellite-borne AIS / ADS-B collision signal separation method based on Hessian matrix pre-estimation. The method specifically comprises the following steps: carrying out amplification filtering and analog-to-digital conversion on received AIS / ADS-B radio frequency signals, and then respectively carrying out digital down-conversion and channel separation processing on the AIS / ADS-B radio frequency signals to respectively obtain an AIS mixed signal matrix and an ADS-B mixed signal matrix; then, carrying out parallel processing on the AIS / ADS-B mixed signal matrix, firstly centralizing and whitening the AIS / ADS-B mixed signal matrix, and then, carrying out de-collision processing by adopting a Hessian matrix pre-estimation improved signal separation algorithm to obtain N paths of separation signals; and enabling the obtained AIS / ADS-B separation signal to enter a subsequent demodulation and decoding process, and finally generating an effective data frame. The quasi-Newton iterative algorithm is improved by using Hessian matrix pre-estimation, convergence is accelerated while the estimation precision of the separation matrix is improved, the time required for separation matrix optimization and solution collision is reduced, the real-time performance is better, and the method is more suitable for a satellite-borne AIS / ADS-B system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a spaceborne AIS / ADS-B collision signal separation method based on Hessian matrix pre-estimation. Background technique [0002] Shipborne automatic identification system (Automatic Identification System, AIS) is a system for exchanging navigation information and position information between ships and between ships and base stations. Automatic Dependent Surveillance-Broadcast (ADS-B) is an important surveillance technology in the field of aviation surveillance. At present, ground receivers are mainly used in AIS and ADS-B systems. Although the construction of ground receivers is the simplest, its coverage is affected by the line-of-sight, and the deployment location is also limited by terrain, which restricts the system from completing global No dead corner coverage. And if the receiver is deployed on the satellite, these problems will be well solved. ...

AI Technical Summary

Problems solved by technology

However, due to the wider satellite coverage, the number of data frames received by the same receiver is greatly increased. When data frames of different targets arrive at the receiver at the same time, the problem of time slot conflict must not be ignored, and an effective method must be found Separate the signal to ensure the normal progress of subsequent demodulation

[0005] Patent application number CN201410502475, the Chinese patent titled "Co-channel Interference Suppression Method for Spaceborne AIS Based on Receiving Blind Beamforming", uses the constant modulus algorithm to realize the user signal before the signal detection module of the spaceborne AIS receiver performs signal detection Blind beamforming separates the desired signal from the interference signal and restores the desired signal. This method is not applicable to the situation where multiple desired signals need to be restored, and cannot effectively solve the problem of signal collision.

[0006] The patent application number is CN201711344183.9, and the Chinese patent titled "ADS-B Signal Separation Method" allows the signal to pass through the band filter module, signal refinement and separation module, timing frequency offset estimation module, and non-coherent demodulation module in sequence and the CRC verification module, the single-channel separation and multi-channel separation of the ADS-B signal are performed in the signal refinement and separation module. Effectively solve the problem of three or more multi-channel signal collisions

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