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A Spaceborne Multi-beamforming Method Based on Improved LMS Algorithm

An LMS algorithm and multi-beam technology, applied in diversity/multi-antenna systems, space transmit diversity, electrical components, etc., can solve problems such as slow convergence speed and heavy satellite load, and achieve burden reduction, system cost reduction, and accurate beam Shaped effect

Active Publication Date: 2020-10-02
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The present invention solves the problems of slow convergence speed and heavy burden of spaceborne beams in forming spaceborne multi-beams by using typical LMS algorithm

Method used

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  • A Spaceborne Multi-beamforming Method Based on Improved LMS Algorithm
  • A Spaceborne Multi-beamforming Method Based on Improved LMS Algorithm
  • A Spaceborne Multi-beamforming Method Based on Improved LMS Algorithm

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specific Embodiment approach 1

[0035] Specific implementation mode one: combine figure 1 To describe this embodiment,

[0036] A spaceborne multi-beamforming method based on the improved LMS algorithm, comprising the following steps:

[0037] Step 1. Arranging the phased array antenna in a straight line with N array elements, defining the array element weight vector w(k) and initializing it;

[0038] Step 2. Calculate the error value e(k) at the k sampling time through the input signal x(k) corresponding to the k sampling time (x(k) is actually a vector) and the array element weight vector w(k),

[0039] e(k)=d(k)-y(k)

[0040] y(k)=w H (k)x(k)

[0041] Among them, d(k) is the expected output signal corresponding to k sampling time, y(k) is the actual output signal corresponding to k sampling time; w H (k) represents the transpose conjugate of w(k);

[0042] Step 3. Calculate the array element weight vector w(k+1) at sampling time k+1 through the input signal x(k) and error value e(k) at sampling time...

specific Embodiment approach 2

[0051] The number M of sampling points set in this embodiment is equal to the number N of elements of the phased array antenna arranged in a straight line.

[0052] Other steps and parameters are the same as those in the first embodiment.

specific Embodiment approach 3

[0054] In step 1 of this embodiment, the element weight vector w(k) is initialized to 0, that is, w(k)=0.

[0055] Other steps and parameters are the same as those in Embodiment 1 or 2.

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Abstract

The invention discloses a spaceborne multi-beam forming method based on an improved LMS algorithm, relating to the spaceborne multi-beam forming method. The method comprises the following steps: firstly initializing a weight vector of an array element, calculating an error value e(k) at the sampling time k according to input signals x(k) corresponding to different sampling time and the weight vector w(k) of the array element, and then calculating the weight vector of the array element at the sampling time k+1 based on the input signals and the error value, and finally determining whether the iteration converges based on a square-error value FORMULA, and forming a spaceborne multi-beam according to the output weight vector of the array element. The spaceborne multi-beam forming method disclosed by the invention is suitable for forming the spaceborne multi-beam.

Description

technical field [0001] The invention relates to a space-borne multi-beam forming method. Background technique [0002] The use of single-beam antennas can no longer meet the increasing requirements for communication capacity, and the problem of limited frequency bands has become increasingly prominent; nowadays, multi-beam satellite communication systems are developing rapidly, and their application prospects are huge; spaceborne multi-beam antennas Technology can solve the problem of limited communication capacity and spectrum to a certain extent, and solve the problems of spectrum efficiency and service quality at a relatively low cost. For multi-beam technology, the core and difficulty is the beamforming in the beamforming network method, most of the current beamforming methods are implemented based on the LMS algorithm; [0003] The LMS algorithm is a digital filtering algorithm, which has been applied in many fields such as system identification and modeling, channel e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/06H04B7/08
CPCH04B7/0617H04B7/0802
Inventor 杨明川张宇萌刘晓锋邵欣业周赫张淑静马晨
Owner HARBIN INST OF TECH