阅读说明：本技术 一种基于通道相位噪声统计的高精度通道校准方法 (High-precision channel calibration method based on channel phase noise statistics ) 是由 孙松斌 于 2019-11-06 设计创作，主要内容包括：本发明公开了一种基于通道相位噪声统计的高精度通道校准方法,进行多次采样进行计算,从而能够更好的反映统计特性；由于通道相位和相位噪声随温度及外部干扰的变化而变化,尽可能缩短校准周期,最好在100毫秒以内。在常用的通道相位校准的方法中仅把相位噪声看做是高斯白噪声,没有准确的对噪声的特性进行统计估计,造成了通道校准精度的损失,本发明很好的解决了上述缺陷。(The invention discloses a high-precision channel calibration method based on channel phase noise statistics, which is used for carrying out multiple sampling and calculation, so that the statistical characteristics can be better reflected; since the channel phase and phase noise vary with temperature and external disturbances, the calibration period is shortened as much as possible, preferably within 100 milliseconds. In the common method for calibrating the channel phase, only the phase noise is regarded as white gaussian noise, and the characteristics of the noise are not accurately counted and estimated, so that the loss of the channel calibration precision is caused.)

1. A high-precision channel calibration method based on channel phase noise statistics is characterized by comprising the following steps:

the first step is as follows: for each antenna received signal x_m(n) weighting after down-conversion processing, wherein an output expression after M array elements are weighted is recorded as:

Y(t)＝W X (1)

the input data of each array after P time delays is represented by MP X1 dimensional vector X, namely:

X^T＝[x₁(0)…x₁(P+1),…,x_M(0)…x_M(P+1)](2)

after L data segment lengths, the two-dimensional matrix corresponding to the input data becomes

Define the MP × 1 dimensional vector W as a weighting coefficient:

W＝[w_1,0…w_1,P-1,…,w_M,0…w_M,P-1](4)

the second step is that: calculating the autocorrelation matrix R, XX, of the input signal^T(ii) a Calculating the eigenvector e corresponding to the MP eigenvalues₁～e_MP；

The third step: performing phase estimation

g＝E^-1e

Wherein

e＝-[e₂₁e₃₁… e_N-1e_N1]，N＝MP；

The fourth step: and calibrating the channel phase according to the estimated value g.

Technical Field

The invention belongs to the technical field of radio frequency channel calibration, and relates to a high-precision channel calibration method based on channel phase noise statistics.

Background

In a multi-channel angle measuring system such as a radar, a phased array and the like, the phase-frequency characteristics of all receivers are difficult to be completely consistent; when signals are received by the array and arrive at the receiver, as shown in fig. 1, inconsistency of the phase characteristics of the received signals must occur between the respective receiving channels. The phase between the channels directly causes the receiver to generate an angle measurement error. Therefore, the calibration accuracy of the channel phase directly influences the angle measurement accuracy of the whole system.

The current common radio frequency channel calibration method is mainly based on the assumption that the channel phase noise mean is zero and the variance is sigma²The channel phase is estimated and calibrated on the basis of the independent white Gaussian noise.

However, in a practical communication system, the true phase noise characteristic is different from the independent white gaussian noise characteristic for various reasons. These include electromagnetic interference from the environment, malfunctions and defects of the communication system, and noise generated when electrical switches and relays of the communication system change states.

According to the statistical analysis of the actually measured noise data, the variance of the channel phase noise is changed with the change of time and does not conform to the white noise characteristic in the conventional sense, and the phase noise is shown in fig. 2.

Disclosure of Invention

Objects of the invention

The invention provides a high-precision channel calibration method based on noise statistical characteristics, which aims to overcome the defects that the conventional channel phase calibration method only considers phase noise as white Gaussian noise and does not accurately perform statistical estimation on the characteristics of the noise to cause loss of channel calibration precision.

(II) technical scheme

In order to solve the above technical problem, the present invention provides a high-precision channel calibration method based on channel phase noise statistics, which comprises the following steps:

the first step is as follows: for each antenna received signal x_m(n) weighting after down-conversion processing, wherein an output expression after M array elements are weighted is recorded as:

Y(t)＝W X (1)

the input data of each array after P time delays is represented by MP X1 dimensional vector X, namely:

X^T＝[x₁(0)…x₁(P+1),…,x_M(0)…x_M(P+1)](2)

after L data segment lengths, the two-dimensional matrix corresponding to the input data becomes

Define the MP × 1 dimensional vector W as a weighting coefficient:

W＝[w_1,0…w_1,P-1,…,w_M,0…w_M,P-1](4)

the second step is that: calculating the autocorrelation matrix R, XX, of the input signal^T(ii) a Calculating the eigenvector e corresponding to the MP eigenvalues₁～e_MP；

The third step: performing phase estimation

g＝E^-1e

Wherein

e＝-[e₂₁e₃₁… e_N-1e_N1]，N＝MP；

The fourth step: and calibrating the channel phase according to the estimated value g.

(III) advantageous effects

The invention estimates the phase through the statistics of the phase noise of the receiver, thereby calibrating the channel. The traditional method considers that the noise variance is unchanged, only one sampling is carried out during calculation, and the method carries out the calculation by carrying out the sampling for many times, thereby better reflecting the statistical property; since the channel phase and phase noise vary with temperature and external disturbances, the calibration period is shortened as much as possible, preferably within 100 milliseconds.

Drawings

Fig. 1 is a schematic diagram of an array antenna reception.

Fig. 2 is a phase noise diagram.

FIG. 3 is a diagram illustrating conventional channel phase difference estimation.

Fig. 4 is a diagram illustrating channel phase estimation based on noise statistics.

Detailed Description

In order to make the objects, contents, and advantages of the present invention clearer, the following detailed description of the embodiments of the present invention will be made in conjunction with the accompanying drawings and examples.

The high-precision channel calibration method based on channel phase noise statistics comprises the following steps:

the first step is as follows: as shown in fig. 4, a signal x is received for each antenna_m(n) weighting the down-converted M array elementsThe weighted output expression is noted as:

Y(t)＝W X (1)

the input data of each array after P time delays is represented by MP X1 dimensional vector X, namely:

X^T＝[x₁(0)…x₁(P+1),…,x_M(0)…x_M(P+1)](2)

after L data segment lengths, the two-dimensional matrix corresponding to the input data becomes

Define the MP × 1 dimensional vector W as a weighting coefficient:

W＝[w_1,0…w_1,P-1,…,w_M,0…w_M,P-1](4)

the second step is that: calculating the autocorrelation matrix R, XX, of the input signal^T. Calculating the eigenvector e corresponding to the MP eigenvalues₁～e_MP。

The third step: performing phase estimation

g＝E^-1e

Wherein

e＝-[e₂₁e₃₁… e_N-1e_N1]，N＝MP。

The fourth step: and calibrating the channel phase according to the estimated value g.

The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.