Multi-target tracking system and DBF channel calibration FPGA implementation method thereof

Abstract

The invention provides a multi-target tracking system and a DBF channel calibration FPGA implementation method thereof and aims to eliminate radio frequency channel errors and analog-to-digital conversion channel errors. Firstly, a radio frequency input interface is connected with a calibration signal source, an upper computer controls the multi-target tracking system to be switched to a channel calibration mode; the channel calibration is carried out, an antenna array plane receives a calibration signal, the signal is transmitted to an FPGA beam control module through a radio frequency receiving channel and an AD sampling module, the signal is preprocessed and then the signal enters a channel calibration module to be obtained, the signal of each receiving processing channel is sequentially switched in the channel calibration module, and calibration coefficients of N channels are sequentially obtained and stored in an FPGA. The upper computer sends an instruction to control the multi-target tracking system to be switched to a normal working mode, a signal source signal is aligned with the antenna array, an external signal is received to enter a receiving processing channel, and thesignal enters the FPGA beam control module.

Description

technical field [0001] The invention relates to a method for implementing channel calibration in the fields of wireless communication, radar, etc., in particular to a multi-target tracking system and an FPGA implementation method for DBF channel calibration thereof. Background technique [0002] In the multi-target telemetry ground receiving system, the digital phased array multi-beam forming (DBF) antenna array corresponds to multiple antenna channels, radio frequency channels and AD sampling channels. The inconsistency between the antenna array and the radio frequency channel, the phase jitter and accuracy limitation of the AD sampling clock, the environmental change, the component failure and other uncertain factors will cause the amplitude and phase error of the receiving channel. In the relationship between the channel amplitude and phase error and the angle estimation accuracy The analysis results show that channel amplitude and phase errors will lead to the reduction ...

AI Technical Summary

Problems solved by technology

[0003] At present, the channel calibration of the traditional analog array system uses an analog feeder network, but as the number of beams increases, its complexity increases significantly, and its expansion capability is weak. The analog phased array system cannot dynamically adjust the beams due to the relatively fixed beamforming network. Width and gain, while analog phased array channel calibration cannot complete the calibration of the channel error caused by analog-to-digital conversion

The large-scale digital array system has a large scale, generally reaching thousands or even tens of thousands of channels, each channel is independent, and the channel data is downlinked through the optical fiber. During the near-field test, it is necessary to record the sampling data of all channels each time, and analyze all the channels at the same time afterwards. Accumulate the data, the amount of recorded data is large, and the analysis time is long. In addition, some of them need the host computer to calculate the channel amplitude and phase error, which is complicated to deal with.

Images