CN103326685A - Radio-frequency antenna impedance self-adaption matching device and method with quantum algorithm applied - Google Patents

Radio-frequency antenna impedance self-adaption matching device and method with quantum algorithm applied Download PDF

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CN103326685A
CN103326685A CN2013102179420A CN201310217942A CN103326685A CN 103326685 A CN103326685 A CN 103326685A CN 2013102179420 A CN2013102179420 A CN 2013102179420A CN 201310217942 A CN201310217942 A CN 201310217942A CN 103326685 A CN103326685 A CN 103326685A
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谭阳红
尹新
刘煜琛
廖继望
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Hunan University
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Abstract

The invention provides a radio-frequency antenna impedance self-adaption matching device and method with the quantum algorithm applied. The radio-frequency antenna impedance self-adaption matching device with the quantum algorithm applied comprises a sensor measuring unit, a control unit and a matching unit, wherein the sensor measuring unit is electrically connected with the control unit, the control unit is electrically connected with the matching unit, the matching unit is electrically connected with the sensor measuring unit, and the matching unit is externally connected with an antenna. The invention further provides a self-adaption matching method of the radio-frequency antenna impedance self-adaption matching device with the quantum algorithm applied. Through the radio-frequency antenna impedance self-adaption matching device and method with the quantum algorithm applied, according to the quantum technology, a radio-frequency antenna impedance matching mathematical model is established. The radio-frequency antenna impedance self-adaption matching device and method with the quantum algorithm applied has the advantages of being high in matching speed, high in precision, good in effect, and applicable to real-time matching.

Description

Adopt radio-frequency antenna impedance self-adaptive coalignment and the method for quantum algorithm
Technical field
The invention belongs to neural net and electronic circuit engineering field, relate to a kind of radio-frequency antenna impedance self-adaptive coalignment and method that adopts quantum algorithm.
Background technology
Antenna directly affects performance and the stability of system as the important part of radio system.The variation of operational environment with the variation of human body relative position, all can have influence on the input impedance of antenna, and this mutability can cause the damage of system power module, the backward power of generation even can burn insulating barrier.
Progress along with science and technology, the arriving of information age, day by day universal with the consumption electronic product that mobile communication equipment is taken as the leading factor, used more frequency range on the terminal equipment at present, and because the terminal equipment limited space, often a plurality of frequency ranges are focused on the main antenna, sacrificed simultaneously the performance of some antennas, to cover wider frequency range.Terminal equipment can only use an antenna, and the matching network that adopts can only be used some frequency ranges wherein, thereby causes antenna mismatch under other frequency range.The mismatch meeting increased power dissipation of these aspects reduces antenna sensitivity, affects device standby time and communication time.Take handheld mobile device of today as example, the design space of antenna is compressed minimum, a large amount of performances of antenna have been sacrificed, the antenna power efficiency of transmission can surpass 50% splendid matching effect all, the antenna for mobile phone average power efficiency of transmission of Nokia company only about 20%, and slide phone even only have 10%.
For this inefficient power delivery problem, impedance match technique is proposed by Chinese scholars, to realize the maximum output of power.Realize the maximum power load impedance matching, way is to insert a passive network between source and load again usually, and this passive network is regarded as matching network usually.Yet their function not merely is to finish power transmission maximized, and matching network also has: noise decrease disturbs, and improves power capacity and improves the functions such as the linearity of frequency response.
What traditional impedance match technique adopted is to insert a fixedly matching network, only for a certain dot frequency design, in case will lose efficacy when this matching network is applied to radio frequency or wideband field.
Summary of the invention
Technical problem to be solved by this invention is, not enough for prior art, a kind of Adaptive impedance matching device and method that adopts the radio-frequency antenna of quantum technology is provided, be applicable to each radio-frequency antenna, can guarantee between source class and load, to form minimal reflection, realize power transmission maximized.
For solving the problems of the technologies described above, the technical solution adopted in the present invention is: a kind of radio-frequency antenna impedance self-adaptive coalignment that adopts quantum algorithm, comprise sensor measurement unit, control unit and matching unit, the sensor measurement unit is electrically connected with control unit, control unit is electrically connected with matching unit, matching unit is electrically connected with the sensor measurement unit, the matching unit external antenna.
Further, the matching network of described matching unit is preferably π type impedance matching network, and π type impedance matching network comprises inductance L, capacitor C 1, capacitor C 2
Further, inductance L, the capacitor C of control unit control matching network 1, capacitor C 2Numerical value, control unit is by inductance L, capacitor C 1, capacitor C 2The control clock of each control switch form, belong to prior art.
A kind of radio-frequency antenna impedance self-adaptive coalignment of quantum algorithm that adopts carries out the method that impedance self-adaptive mates, and may further comprise the steps:
1) reflection coefficient or the standing-wave ratio by the sensor measurement matching network:
If the equivalent source voltage of the power end of matching network (namely except control unit, transducer, antenna, all external circuits of other that links to each other with matching network) is V In, the equivalent source internal resistance is
Figure 2013102179420100002DEST_PATH_IMAGE001
, then the equivalent input impedance of the power end of matching network is
Figure 766216DEST_PATH_IMAGE002
,
Figure 2013102179420100002DEST_PATH_IMAGE003
,
Figure 870308DEST_PATH_IMAGE004
Represent respectively input resistance and input reactance,
Figure 2013102179420100002DEST_PATH_IMAGE005
，
Wherein, C 1, C 2, L is respectively electric capacity and the inductance value of π type impedance matching network,
Figure 89193DEST_PATH_IMAGE006
Be the operating frequency of antenna, the impedance of antenna is
Figure DEST_PATH_IMAGE007
,
Figure 419155DEST_PATH_IMAGE008
With
Figure DEST_PATH_IMAGE009
Represent respectively resistance and the reactance of antenna.
The active power of load (i.e. the load of the circuit of all except antenna) is
Figure 666816DEST_PATH_IMAGE010
, wherein,
Figure DEST_PATH_IMAGE011
Be maximum power, expression formula is
Figure 676229DEST_PATH_IMAGE012
If
Figure DEST_PATH_IMAGE013
The reflection coefficient of the matching network of sensor measurement,
Figure 569361DEST_PATH_IMAGE014
, namely
Figure DEST_PATH_IMAGE015
If the standing-wave ratio of sensor measurement matching network is VSWR, then
Figure 263867DEST_PATH_IMAGE016
；
2) control in real time the inductance of π type matching network and the value of electric capacity by control unit:
Because the value of inductance and electric capacity changes, therefore, the present invention adopts the binary switch matrix method to come the value of control capacitance and inductance.
3) when the environment of antenna changes, the component value that needs real-time adaptive to adjust matching network (is inductance L and the capacitor C of π type matching network 1, C 2Value), make antenna realize quickly and accurately the coupling, the present invention adopts quantum algorithm, obtains in real time the best component value of matching network, concrete steps are:
(3-1) coding: with inductance L and the capacitor C of π type impedance matching network 1, C 2Value all encode with quantum chromosomes, specific coding is:
With L, C 1, C 2Be expressed as Chain and
Figure 371894DEST_PATH_IMAGE018
Chain;
Initialization: adopt the random initializtion method, according to theory analysis, in the π type matching network, inductance L and capacitor C 1, C 2The initialization scope be
Figure DEST_PATH_IMAGE019
,
Figure 572716DEST_PATH_IMAGE020
, the probability of each quantum chromosomes all is initialized as
Figure DEST_PATH_IMAGE021
(3-2) measure: quantum chromosomes is expressed as quantum matrix (in the formula,
Figure DEST_PATH_IMAGE023
Represent respectively the K position of i generation j individuality
Figure 123444DEST_PATH_IMAGE017
Chain and
Figure 584513DEST_PATH_IMAGE018
The chain value), and is converted into binary system, namely obtains each chromosomal probability
Figure 201308DEST_PATH_IMAGE024
With
Figure DEST_PATH_IMAGE025
(3-3) assessment: in order to realize optimum Match, the fitness function of matching network is
Figure 69032DEST_PATH_IMAGE026
( For equivalent input impedance,
Figure 465859DEST_PATH_IMAGE028
For the internal resistance of source, Reflection coefficient), thus can obtain the adaptive value of each quantum chromosomes individuality, in obtaining population i generation j individuality adaptive value
Figure DEST_PATH_IMAGE029
(
Figure 8278DEST_PATH_IMAGE029
Figure 924151DEST_PATH_IMAGE030
) afterwards, assessment is exactly to try to achieve the optimal adaptation value
Figure DEST_PATH_IMAGE031
(
Figure 623204DEST_PATH_IMAGE032
Expression optimal adaptation value,
Figure DEST_PATH_IMAGE033
Corresponding chromogene);
(3-4) quantum operation:
Select operation: after the adaptive value of trying to achieve each quantum chromosomes individuality, select operation exactly the excellent individual in each quantum chromosomes to be elected, as male parent, participate in operation of future generation, the method of described selection operation is: each quantum chromosomes is arranged according to the adaptive value size, choose the quantum chromosomes individuality of maximum adaptation value wherein as male parent, wherein 80% individuality is selected according to the principle of adaptive value size.Simultaneously, keep variation in order to make sample, 20% individuality is chosen from this population at random in addition;
Interlace operation: refer to a part of chiasma two parent individualities, mutually replace and generate the operation of new individuality, thereby search capability is improved;
Mutation operation: the substance of mutation operator is that the genic value on some locus of the individuality in the colony is changed, and the variation probability here is Pm;
The quantum rotation operation: quantum rotation is most important operation, establishes spin matrix to be
Figure 248745DEST_PATH_IMAGE034
, wherein
Figure DEST_PATH_IMAGE035
Be the anglec of rotation, then i is for the K position
Figure 664069DEST_PATH_IMAGE022
, (in the formula,
Figure 552391DEST_PATH_IMAGE023
Represent respectively the K position of i generation j individuality
Figure 621847DEST_PATH_IMAGE017
Chain and
Figure 413479DEST_PATH_IMAGE018
The chain value) renewal expression formula is
Figure 542977DEST_PATH_IMAGE036
, wherein, With
Figure 102616DEST_PATH_IMAGE038
It is before the rotation and postrotational quantum bit; Through above operation, obtain best element L, C in the matching network 1, C 2Value.After quantum algorithm is tried to achieve the best component value of matching network, send control signal by control unit, control inductance L and capacitor C in the π type matching network by the binary switch matrix 1, C 2Value, thereby reach the purpose of Adaptive matching.
The present invention utilizes the quantum technology, has set up the Mathematical Modeling of radio-frequency antenna impedance matching, has that matching speed is fast, precision is high, and effective advantage can be applicable to real-time matching.
The Adaptive impedance matching technology is compared traditional impedance matching, can accomplish real-time, quick, stable coupling to dynamic load, and can be with this technology application project practice, and its application prospect is much larger than traditional impedance match technique.
Description of drawings
Fig. 1 is impedance matching block diagram of the present invention;
Fig. 2 (a) is binary system capacitance switch matrix;
Fig. 2 (b) is binary system inductance switch matrix;
Fig. 3 is the QGA coding
Figure 959451DEST_PATH_IMAGE017
Chain and Chain;
Fig. 4 is the best and the average adaptive value that the QGA algorithm obtains.
Embodiment
The invention will be further described below in conjunction with drawings and Examples.
With reference to Fig. 1, a kind of radio-frequency antenna impedance self-adaptive coalignment that adopts quantum algorithm, comprise sensor measurement unit, control unit and matching unit, the sensor measurement unit is electrically connected with control unit, control unit is electrically connected with matching unit, matching unit is electrically connected with the sensor measurement unit, the matching unit external antenna.
The matching network of described matching unit is π type impedance matching network.
Inductance L, the capacitor C of control unit control matching network 1, capacitor C 2Numerical value, control unit is by inductance L, capacitor C 1, capacitor C 2The control clock of each control switch form, belong to prior art.
A kind of radio-frequency antenna impedance self-adaptive coalignment of quantum algorithm that adopts carries out the method that impedance self-adaptive mates, and may further comprise the steps:
1) reflection coefficient or the standing-wave ratio by sensor measuring network:
If the equivalent source voltage of the power end of matching network (namely except control unit, transducer, antenna, all external circuits of other that links to each other with matching network, as shown in Figure 1, all circuit in matching network left side are the power ends of matching network) is V In, the equivalent source internal resistance is
Figure 673034DEST_PATH_IMAGE001
, then the equivalent input impedance of the power end of matching network is
Figure 785215DEST_PATH_IMAGE002
,
Figure 255861DEST_PATH_IMAGE003
,
Figure 753576DEST_PATH_IMAGE004
Represent respectively input resistance and input reactance,
Figure 227808DEST_PATH_IMAGE005
，
Wherein, C 1, C 2, L is respectively electric capacity and the inductance value of π type impedance matching network,
Figure 578018DEST_PATH_IMAGE006
Be the operating frequency of antenna, the impedance of antenna is ,
Figure 407838DEST_PATH_IMAGE008
With
Figure 784462DEST_PATH_IMAGE009
Represent respectively resistance and the reactance of antenna.
The active power of load (i.e. the load of the circuit of all except antenna) is
Figure 621968DEST_PATH_IMAGE010
, wherein, Be maximum power, expression formula is
Figure 115845DEST_PATH_IMAGE012
If
Figure 683878DEST_PATH_IMAGE013
The reflection coefficient of sensor measurement matching network, , namely
Figure 565432DEST_PATH_IMAGE015
If the standing-wave ratio of sensor measurement matching network is VSWR, then
Figure 895176DEST_PATH_IMAGE016
；
2) control in real time the inductance of π type matching network and the value of electric capacity by control unit:
Because the value of inductance and electric capacity changes, therefore, the present invention adopts the binary switch matrix method to come the value of control capacitance and inductance, and as shown in Figure 2, the switch among Fig. 2 is electronic switch, by the clock control of control unit.
3) when the environment of antenna changes, the component value that needs real-time adaptive to adjust matching network (is L, the C of π type matching network 1, C 2Value), make antenna realize quickly and accurately coupling, the present invention adopts quantum algorithm, obtains in real time the best component value of matching network, and concrete steps are:
(3-1) coding: with inductance L and the capacitor C of π type impedance matching network 1, C 2Value all encode with quantum chromosomes, specific coding is:
With L, C 1, C 2Be expressed as
Figure 879181DEST_PATH_IMAGE017
Chain and
Figure 425700DEST_PATH_IMAGE018
Chain, referring to Fig. 3 (among Fig. 3, L, C 1, C 2Representative
Figure 783214DEST_PATH_IMAGE017
Chain and
Figure 230113DEST_PATH_IMAGE018
The gene representation of chain);
Initialization: adopt the random initializtion method, according to theory analysis, in the π type matching network, inductance L and capacitor C 1, C 2The initialization scope of value is
Figure 387950DEST_PATH_IMAGE019
, , the probability of each quantum chromosomes all is initialized as
Figure 320319DEST_PATH_IMAGE021
(3-2) measure: with quantum matrix
Figure 618796DEST_PATH_IMAGE022
(in the formula
Figure 944604DEST_PATH_IMAGE023
Represent respectively the K position of i generation j individuality
Figure 465715DEST_PATH_IMAGE017
Chain and The chain value), and is converted into the binary representation form, namely obtains each chromosomal probability
Figure 326803DEST_PATH_IMAGE024
With
(3-3) assessment: in order to realize optimum Match, the fitness function of matching network is
Figure 828990DEST_PATH_IMAGE026
(
Figure 69347DEST_PATH_IMAGE027
For equivalent input impedance, For the equivalent source internal resistance, The reflection coefficient of the matching network of sensor measurement), thus can obtain the adaptive value of each quantum chromosomes individuality, in obtaining population i generation j individuality adaptive value
Figure 578102DEST_PATH_IMAGE029
(wherein,
Figure 372883DEST_PATH_IMAGE029
Figure 254120DEST_PATH_IMAGE030
) afterwards, assessment is exactly to try to achieve , (
Figure 577096DEST_PATH_IMAGE032
Expression optimal adaptation value,
Figure 909989DEST_PATH_IMAGE033
Corresponding chromogene); );
(3-4) quantum operation:
Select operation:After the adaptive value of trying to achieve each quantum chromosomes individuality, select operation exactly the excellent individual in each quantum chromosomes to be elected, as male parent, participate in operation of future generation, the method of described selection operation is: each quantum chromosomes is arranged according to the adaptive value size, choose the quantum chromosomes individuality of maximum adaptation value wherein as male parent, wherein 80% individuality is selected according to the principle of adaptive value size.Simultaneously, keep variation in order to make sample, 20% individuality is chosen from this population at random in addition;
Interlace operation: refer to a part of chiasma two parent individualities, mutually replace and generate the operation of new individuality, thereby search capability is improved;
Mutation operation: the substance of mutation operator is that the genic value on some locus of the individuality in the colony is changed, and the variation probability here is Pm;
The quantum rotation operation: quantum rotation is most important operation, establishes spin matrix to be
Figure 642803DEST_PATH_IMAGE034
, wherein
Figure 167063DEST_PATH_IMAGE035
Be the anglec of rotation, then i is for the K position
Figure 623976DEST_PATH_IMAGE022
The renewal expression formula be
Figure 760560DEST_PATH_IMAGE036
, wherein,
Figure 350810DEST_PATH_IMAGE037
With
Figure 43041DEST_PATH_IMAGE038
It is before the rotation and postrotational quantum bit;
Through above operation, we can obtain best element L, C in the matching network 1, C 2Value.After quantum algorithm is tried to achieve the best component value of matching network, send control signal by control unit, control inductance L and capacitor C in the π type impedance matching network by the binary switch matrix 1, C 2Value, thereby reach the purpose of Adaptive matching.
Application example of the present invention:
If signal frequency is 1.8 GHz and 2.4GHz, signal level is 1V, the internal resistance of source is 50 Ω, load impedance selects 20-j30 Ω, 50 Ω, 200 Ω, 50+j75 Ω, 50-j75 Ω, 25+j50 Ω, seven resistance values of 25-j50 Ω to test at random, and load has comprised resistive load, capacity load, three kinds of common load values of inductive load.Selected population scale e is 100; Iterations is 1000, and the element dimension of matching network is 3.In training process, the best that the QGA matching algorithm obtains and average adaptive value are as shown in Figure 4.Algorithm quickly converges on overall smallest point.
After training, the Adaptive matching result of quantum algorithm is as shown in table 1 below.
The Adaptive matching result of table 1 quantum algorithm
Figure 984321DEST_PATH_IMAGE040
Clearly, the input impedance of the antenna end that obtains of QGA algorithm Z In Ideal, the convergence theoretical value Z In =50 Ω, the reflection coefficient of network all levels off to 0, and its VSWR is close to 1, and bearing power is approached 0.005W, has realized the maximization of power delivery.The QGA algorithm of reaching a conclusion thus can be finished the Adaptive matching function of impedance well.

Claims (4)

1. adopt the radio-frequency antenna impedance self-adaptive coalignment of quantum algorithm, it is characterized in that, comprise sensor measurement unit, control unit and matching unit, the sensor measurement unit is electrically connected with control unit, control unit is electrically connected with matching unit, matching unit is electrically connected with the sensor measurement unit, the matching unit external antenna.
2. the radio-frequency antenna impedance self-adaptive coalignment of employing quantum algorithm according to claim 1 is characterized in that, the matching network of described matching unit is π type impedance matching network, and π type impedance matching network comprises inductance L, capacitor C 1, capacitor C 2
3. use as claim 1-2 as described in each radio-frequency antenna impedance self-adaptive coalignment of employing quantum algorithm carry out the method for impedance self-adaptive coupling, may further comprise the steps:
1) reflection coefficient or the standing-wave ratio by the sensor measurement matching network:
If the equivalent source voltage of the power end of matching network is V In, the equivalent source internal resistance is
Figure 501553DEST_PATH_IMAGE002
, then the equivalent input impedance of the power end of matching network is
Figure 665031DEST_PATH_IMAGE004
,
Figure 631719DEST_PATH_IMAGE006
,
Figure 213879DEST_PATH_IMAGE008
Represent respectively input resistance and input reactance,
Figure 280448DEST_PATH_IMAGE010
，
Wherein, C 1, C 2, L is respectively electric capacity and the inductance value of π type impedance matching network,
Figure 289862DEST_PATH_IMAGE012
Be the operating frequency of antenna, the impedance of antenna is
Figure 740916DEST_PATH_IMAGE014
, With
Figure 44913DEST_PATH_IMAGE018
Represent respectively resistance and the reactance of antenna;
Load active power is
Figure 228157DEST_PATH_IMAGE020
, wherein, Be maximum power, expression formula is
Figure 90470DEST_PATH_IMAGE024
If The reflection coefficient of the matching network of sensor measurement, , namely
Figure 911424DEST_PATH_IMAGE030
If the standing-wave ratio of sensor measurement matching network is VSWR, then
Figure 498132DEST_PATH_IMAGE032
；
2) control in real time the inductance of π type matching network and the value of electric capacity by control unit:
Because the value of inductance and electric capacity changes, therefore, adopt the binary switch matrix method to come the value of control capacitance and inductance;
3) when the environment of antenna changes, need real-time adaptive to adjust the component value of matching network, the i.e. inductance L of π type matching network and capacitor C 1, C 2Value, make antenna realize quickly and accurately the coupling.
4. the radio-frequency antenna impedance self-adaptive coalignment of employing quantum algorithm according to claim 3 carries out the method for impedance self-adaptive coupling, it is characterized in that, in the described step 3), when real-time adaptive is adjusted the component value of matching network, adopt quantum algorithm, obtain in real time the best component value of matching network, concrete steps are:
(3-1) coding: with inductance L and the capacitor C of π type impedance matching network 1, C 2Value all encode with quantum chromosomes, specific coding is:
With L, C 1, C 2Be expressed as
Figure 411378DEST_PATH_IMAGE034
Chain and
Figure 933495DEST_PATH_IMAGE036
Chain;
Initialization: adopt the random initializtion method, according to theory analysis, in the π type matching network, inductance L and capacitor C 1, C 2The initialization scope be
Figure 852297DEST_PATH_IMAGE038
,
Figure 180379DEST_PATH_IMAGE040
, the probability of each quantum chromosomes all is initialized as
Figure 862378DEST_PATH_IMAGE042
(3-2) measure: quantum chromosomes is expressed as quantum matrix
Figure 820975DEST_PATH_IMAGE044
, in the formula,
Figure 20881DEST_PATH_IMAGE046
Represent respectively the K position of i generation j individuality
Figure 93267DEST_PATH_IMAGE034
Chain and
Figure 757335DEST_PATH_IMAGE036
The chain value, and be converted into binary system, namely obtain each chromosomal probability With
(3-3) assessment: in order to realize optimum Match, the fitness function of matching network is
Figure 181604DEST_PATH_IMAGE052
, in the formula,
Figure 841124DEST_PATH_IMAGE054
For equivalent input impedance,
Figure 200912DEST_PATH_IMAGE056
For the internal resistance of source,
Figure 313093DEST_PATH_IMAGE026
Be reflection coefficient, thereby obtain the adaptive value of each quantum chromosomes individuality, i is for j individual adaptive value in obtaining population Afterwards,
Figure 975729DEST_PATH_IMAGE058
Figure 447031DEST_PATH_IMAGE060
, assessment is exactly to try to achieve the optimal adaptation value
Figure 46508DEST_PATH_IMAGE062
, in the formula,
Figure 344282DEST_PATH_IMAGE064
Expression optimal adaptation value,
Figure 712816DEST_PATH_IMAGE066
It is corresponding chromogene;
(3-4) quantum operation:
Select operation: after the adaptive value of trying to achieve each quantum chromosomes individuality, select operation exactly the excellent individual in each quantum chromosomes to be elected, as male parent, participate in operation of future generation, the method of described selection operation is: each quantum chromosomes is arranged according to the adaptive value size, choose the quantum chromosomes individuality of maximum adaptation value wherein as male parent, wherein 80% individuality is selected according to the principle of adaptive value size; Simultaneously, keep variation in order to make sample, 20% individuality is chosen from this population at random in addition;
Interlace operation: refer to a part of chiasma two parent individualities, mutually replace and generate the operation of new individuality, thereby search capability is improved;
Mutation operation:The substance of mutation operator is that the genic value on the locus of the individuality in the colony is changed, and the variation probability here is Pm;
The quantum rotation operation: quantum rotation is most important operation, establishes spin matrix to be
Figure 92369DEST_PATH_IMAGE068
, wherein Be the anglec of rotation, then i is for the K position
Figure 991591DEST_PATH_IMAGE044
The renewal expression formula be
Figure 480210DEST_PATH_IMAGE072
, wherein,
Figure 90052DEST_PATH_IMAGE046
Represent respectively the K position of i generation j individuality
Figure 667051DEST_PATH_IMAGE034
Chain and
Figure 223803DEST_PATH_IMAGE036
The chain value,
Figure 298420DEST_PATH_IMAGE074
With
Figure 282425DEST_PATH_IMAGE076
It is before the rotation and postrotational quantum bit;
Through above operation, obtain best element L, C in the matching network 1, C 2Value; After quantum algorithm is tried to achieve the best component value of matching network, send control signal by control unit, control inductance L and capacitor C in the π type matching network by the binary switch matrix 1, C 2Value, realize Adaptive matching.
CN2013102179420A 2013-06-04 2013-06-04 Radio-frequency antenna impedance self-adaption matching device and method with quantum algorithm applied Pending CN103326685A (en)

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CN108718199A (en) * 2018-07-24 2018-10-30 广东电网有限责任公司 Antenna self-adaptive impedance matching box and matching process
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