Single channel phase control array receiving signal reconstruction and space signal treatment method

Abstract

The present invention relates to a single-channel phase array receiving signal reconstruction and space signal processing method. Said method includes the following steps: making the antenna array into uniform linear form, on the premise of meeting sampling law defining synchro controller time sequence and sampling frequency of single-channel receiver, then utilizing synchro time sequence control technique to respectively give weighted vector W to phased array every antenna unit, and synthesizing received signal to obtain synthetic signal Y, feeding the synthetic signal into single-channel receiver and making synchronous sampling, combining weighted vector W and synthetic signal Y, utilizing X=W-1, Y to reconstruct time sequence signal X, received by phased-array antenna unit; making the reconstructed time-sequence signal undergo the process of digital beam formation or adaptive beam formation or utilizing space high resolution algorithm to obtain arrival angle of signal.

Description

technical field [0001] The invention relates to a single-channel phased array receiving signal reconstruction and processing method. Background technique [0002] Phased array radar is an advanced electronic system that has been widely used in the fields of radar, communication, sonar, remote sensing telemetry, radio astronomy, seismic exploration and biomedical engineering due to its excellent performance. In order to meet the needs of the development of national defense and economic construction, radars for different purposes are gradually transforming and adopting phased array technology. Multifunctional phased array radar has become the mainstream of radar development today. [0003] Since the information resources of phased array radar azimuth resolution are in the antenna aperture, according to the traditional phased array antenna design idea, the spatial angular resolution of phased array radar will be limited by the Rayleigh criterion. To obtain a narrow beam with h...

AI Technical Summary

Problems solved by technology

However, as the number of array elements increases, the receiver also increases accordingly, resulting in very expensive manufacturing costs

And because the above-mentioned eigenstructure algorithms are very sensitive to signal model errors, many ideal algorithms fail in practical applications [See C M S. Method for Array Calibration in High-resolution Sensor Array Processing. IEE Proc.-F, 1995, 13( 3): 90-96], and in the case of multi-channel reception, it is extremely difficult to ensure that the channels of all receivers are consistent without introducing additional amplitude and phase

[0005] In order to reduce the difficulty of receiving channel calibration, like many current phased array radars, a single-channel receiver can be used to receive signals, but this kind of radar can only obtain the composite signal of all array elements of the antenna, and cannot obtain and use the amplitude of each array element. Phase information, very limited functionality

In view of this, someone proposed a scheme of using single-channel receiver for spatial spectrum estimation and direction finding [Zhao Yimin, Ju Dehang, Single-channel receiver for spatial spectrum estimation and direction finding, Journal of Communications, 1997, 18(2): 7-1; Ye Zhongfu, Wu Tao, Tracking Algorithm Based on Phased Array Single-Channel Receiver High Resolution DOA Estimation, Journal of Electronic Science, 2000, 22(2): 260-264; Ye Zhongfu, Wu Tao, Realized with Single-Channel Receiver A method of direction super-resolution, Signal Processing, 2001, 17(2): 192-194], although this method can obtain the covariance matrix of the antenna array through a single channel using the weight perturbation algorithm, thereby achieving spatial super-resolution, but The amplitude and phase distribution of the original signal received by the antenna is still not obtained, so it cannot provide more reusable information for the radar system

In special cases, when antennas are required to form beams (such as using high-frequency surface wave over-the-horizon radar to extract sea surface wind and wave information, etc.), it is impossible to further perform low-sidelobe digital beamforming, antenna adaptive anti-jamming, beam azimuth and shape changes, etc.

It is also impossible to realize the miniaturization of the radar antenna to meet the requirements of modern radar stealth, intelligence, high mobility, real-time calibration and strong invulnerability

All of these greatly limit its promotion and application

Images