CN113727425A - Method for reducing radio frequency interference of wireless network by adopting interference immunity algorithm - Google Patents
Method for reducing radio frequency interference of wireless network by adopting interference immunity algorithm Download PDFInfo
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Abstract
The invention discloses a method for reducing radio frequency interference of a wireless network by adopting an interference immunity algorithm, which specifically comprises the following steps: the method comprises the following steps: an active roaming mechanism, namely a vehicle-mounted wireless terminal, a single soldier, a handheld terminal and other mobile wireless equipment, performs background scanning on adjacent base stations in a network in real time when the mobile wireless equipment moves among multiple wireless base station equipment, and requests in advance once the base stations with signal quality exceeding a certain threshold are found; step two: starting the five-level network security protection; the invention creatively completes the interference immune algorithm, greatly improves the overall interference resistance of the ad hoc network system, and realizes the effect of effectively reducing the interference, thereby achieving the aim of stably and reliably improving the transmission rate.
Description
Technical Field
The invention belongs to the technical field of wireless network radio frequency, and particularly relates to a method for reducing wireless network radio frequency interference by adopting an interference immunity algorithm.
Background
The installation of the wireless ad hoc network is relatively convenient and relatively fast. The client is a wireless small APP with multiple functions, and a user can easily learn to use the APP for voice communication, video and file transmission. In order to transmit a large amount of data, the mutual interference among the data channels needs to be reduced; therefore, various methods are needed to be comprehensively used, so that the interference and the noise can be reduced most effectively, and the signal-to-noise ratio is improved; the digital operation processing is carried out on the transmitted and received wireless signals, and the method is an effective and widely used method;
at present, most of ad hoc network management and interference reduction methods mainly include an active roaming mechanism, graded safety protection on access requests, comprehensive network management of a geographic information system based on users and base stations, a time division multiple access technology, a delay rate adaptation technology and a near point power control technology; they are widely used; after long-term verification in various environments, the anti-interference effect is obvious, and the performance is stable. It has been continuously improved and perfected over the past time; so that the method is generally adopted and accepted and becomes a classical theory and technology;
the whole resistance to interference of the existing ad hoc network system is reduced, so that the stability and reliability of the whole system are low, and the transmission rate cannot be improved.
Disclosure of Invention
The present invention is directed to a method for reducing radio frequency interference of a wireless network by using an interference immunity algorithm, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a method for reducing radio frequency interference of a wireless network by adopting an interference immunity algorithm specifically comprises the following steps:
the method comprises the following steps: an active roaming mechanism, namely a vehicle-mounted wireless terminal, a single soldier, a handheld terminal and other mobile wireless equipment, performs background scanning on adjacent base stations in a network in real time when the mobile wireless equipment moves among multiple wireless base station equipment, and requests in advance once the base stations with signal quality exceeding a certain threshold are found;
step two: starting the five-level network security protection;
step three: the method comprises the steps of performing online and offline GIS position management on wireless equipment based on GIS comprehensive network management, monitoring the running state of the wireless equipment in detail, including but not limited to equipment resource occupation, working voltage, working temperature, port negotiation rate, receiving/sending throughput, signal field intensity value, CCQ, SNR and link on-off, and supporting alarm reminding, alarm dictionary query and alarm log query on each parameter and link of the equipment;
step four: TDMA time division multiple access;
step five: DRA delay rate adaptation, which avoids the influence of high interference similar to strong pulse on a wireless base station and improves the transmission efficiency of the system in an interference environment;
step six: the passive sub-algorithm carries out operation based on input data, and after an operation result is obtained, the result is submitted to a higher-level software control management module; and the control management module sets a corresponding communication channel, then, under the setting of the communication channel, the active subprogram performs operation based on input data to obtain an operation result, the operation result is uploaded to a higher-level software control management module, the control management module sets a corresponding radio frequency front end, the passive subprogram starts to work again, and the process is circulated.
As a preferred technical solution of the present invention, the present invention further includes an NTPC, which is an intelligent power control technology for solving the near-far effect in the WLAN network, and the technology improves the probability of the far-end station preempting the channel resource by reducing the power of the ACK packet sent to the near-end station, thereby achieving the purpose of load balancing between the near-end station and the far-end station.
As a preferred technical scheme of the invention, the passive interference immune sub-algorithm is used for carrying out background analysis on the distribution and occupation conditions of peripheral radio frequency points in the operation process of all wireless equipment, finding that the same frequency and adjacent frequency interference occur with a certain frequency and last for a certain time, starting the passive interference immune sub-algorithm, automatically avoiding the frequency points with higher occupancy rate, flexibly selecting pure frequency points in a set frequency width for data communication, and ensuring low delay and real-time transmission of service data.
As a preferred technical solution of the present invention, the active interference immune sub-algorithm is used for trying to reduce interference of radio signals transmitted by a radio frequency front end and reduce interference of reception, and is implemented based on a method of performing beamforming on an antenna array of a mobile client.
The invention relates to a preferred technical scheme, a beam-forming antenna comprises an array consisting of a plurality of antenna units, a beam forming network and a beam forming algorithm, wherein the beam forming antenna adjusts the weighted amplitude and the phase of each array element signal by the algorithm meeting a certain criterion, so as to adjust the directional pattern shape of the antenna array, achieve the purposes of enhancing required signals and inhibiting interference signals.
As a preferred technical solution of the present invention, the present invention further includes an NTPC, which is an intelligent power control technology for solving the near-far effect in the WLAN network, and improves the probability of the far-end station preempting the channel resource by reducing the power of the ACK packet sent to the near-end station, thereby achieving the purpose of load balancing between the near-end station and the far-end station.
Compared with the prior art, the invention has the beneficial effects that:
the invention creatively completes the interference immune algorithm, greatly improves the integral resistance of the ad hoc network system to interference, and realizes the effect of effectively reducing the interference, thereby achieving the aim of stably and reliably improving the transmission rate; the algorithm is subjected to theoretical deduction, and data results of experiments based on a simple wireless network principle show that the algorithm obviously reduces noise and improves the transmission rate. Based on experience with the wireless ad hoc network actually operating and test reports, it can be confirmed that the algorithm indeed achieves all expectations and goals.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a technical scheme that: a method for reducing radio frequency interference of a wireless network by adopting an interference immunity algorithm specifically comprises the following steps:
the method comprises the following steps: an active roaming mechanism, namely a vehicle-mounted wireless terminal, a single soldier, a handheld terminal and other mobile wireless equipment, performs background scanning on adjacent base stations in a network in real time when the mobile wireless equipment moves among multiple wireless base station equipment, and requests in advance once the base stations with signal quality exceeding a certain threshold are found;
step two: starting five-level network security protection, wherein the five-level protection comprises the following steps:
a first level: the specific HyMesh-v2 wireless transmission protocol is that except wireless devices of the same series of the electrified bureau, other wireless devices cannot scan and detect the wireless network, so that high-level network hiding is achieved;
and (3) second grade: the client isolation is carried out on the two-layer forwarding network in the wireless network, so that only a limited access range in a local area network is provided for an accessed common user, and the broadcast storm and virus spread are effectively inhibited;
and a third stage: the method comprises the following steps that the exposure of a cellular SSID hotspot is weakened during PTP/PTMP wireless link establishment, a WDS locking connection mode that static equipment MAC identities are bound with each other is adopted for a link, and an unlocked terminal cannot be accessed;
fourth stage: the equipment supports a private certificate authentication mode, and a certificate can be automatically generated according to the requirements of a client and is placed in each equipment embedded system of an internal networking for identity mutual authentication;
and a fifth level: each device can perform detailed authority classification on an administrator logging in the management device according to roles through management software, so that important data parameters are prevented from being tampered by non-super administrators;
step three: the method comprises the steps of performing online and offline GIS position management on wireless equipment based on GIS comprehensive network management, monitoring the running state of the wireless equipment in detail, including but not limited to equipment resource occupation, working voltage, working temperature, port negotiation rate, receiving/sending throughput, signal field intensity value, CCQ, SNR and link on-off, and supporting alarm reminding, alarm dictionary query and alarm log query on each parameter and link of the equipment;
step four: TDMA, TDMA network time slot dividing method should be decided according to the actual communication demand, the network time slot division must meet the real-time demand of communication, and also should consider the efficiency of network, the time slot too small network real-time good but efficiency too low, time slot too long and can not guarantee the real-time of communication, TDMA protocol is applied in the data communication with higher real-time demand, the performance is stable and there is no CDMA effect and near-far effect of CDMA protocol (code division multiple access), and can solve the hidden node problem in the wireless network, TDMA makes N users share the same carrier channel by allocating each time slot for non-overlapping, so its frequency band utilization rate is high, the system capacity is large, N time division channels share the same carrier channel, occupy the same bandwidth, only needs one transceiver, so the intermodulation interference is small, the complexity of base station equipment is small, wider transmission bandwidth. When the frequency spectrum efficiency of the circuit is certain, the TDMA has a wider frequency band than the FDMA on a channel, which is beneficial to improving interference and multipath fading and enhancing the communication quality; in order to make full use of time resources in a TDMA system, a guard time slot should be compressed to the minimum, but in order to shorten the guard time slot, a transmission signal at the edge of the time slot is obviously suppressed, so that the frequency spectrum of the transmission signal is expanded and interference to adjacent channels is caused, and in a wireless wlan network, a stable transmission effect can be ensured by reducing the frequency width and increasing the frequency point of expansion;
step five: DRA delay rate adaptation is a radio frequency interference processing technique developed to solve the problem of low transmission efficiency in a high interference environment; the DRA adopts a delayed rate adaptation technology to avoid the influence of high interference similar to strong pulse on a wireless base station and improve the transmission efficiency of the system in an interference environment, when the strong pulse interference occurs, the wireless base station does not immediately reduce the modulation rate, but continuously maintains a higher modulation rate, the air time of a data packet is shortened as much as possible to avoid the influence of the interference, when the strong interference continuously occurs (non-pulse interference), the wireless base station starts to reduce the modulation rate and simultaneously adjusts a CCA (clear Channel assessment) threshold to reduce the influence of the interference on the base station after delaying for a period of time under the adjustment of an airX adaptive algorithm, thereby greatly improving the transmission efficiency of the system; the anti-interference capability of the system is effectively improved; the throughput of the system in the strong interference environment is effectively improved; the capability of resisting strong burst interference of the system is effectively improved; the stability of a wireless system is effectively ensured;
step six: the passive sub-algorithm carries out operation based on input data, and after an operation result is obtained, the result is submitted to a higher-level software control management module; the control management module is used for setting a corresponding communication channel, then under the setting of the communication channel, the active subprogram is operated based on input data to obtain an operation result, the operation result is uploaded to a higher-level software control management module, the control management module is used for setting a corresponding radio frequency front end, and the passive subprogram starts to work again. The algorithm is subjected to theoretical deduction, data results of experiments based on a simple wireless network principle show that the algorithm obviously reduces noise and improves the transmission rate, and all expectations and targets of the algorithm can be confirmed to be really achieved based on the use experience and test reports of the wireless ad hoc network which actually runs.
In this embodiment, the present invention further includes an NTPC, which is an intelligent power control technology for solving the near-far effect in the WLAN network, and the technology improves the probability of the far-end station preempting the channel resource by reducing the power of the ACK packet sent to the near-end station, thereby achieving the purpose of load balancing between the near-end station and the far-end station.
In this embodiment, the passive interference immune sub-algorithm is used to perform background analysis on the distribution and occupation of the peripheral radio frequency points in the operation process of all the wireless devices, find that a certain frequency and a certain duration of co-frequency and adjacent frequency interference occur, start the passive interference immune sub-algorithm, automatically avoid the frequency points with a higher occupancy rate, and flexibly select pure frequency points within a set bandwidth for data communication, thereby ensuring low delay and real-time transmission of service data.
In this embodiment, the active interference immune sub-algorithm is used for trying to reduce interference of wireless signals transmitted by a radio frequency front end and reduce interference of reception, and is implemented based on a method of beam forming an antenna array of a mobile client;
the technical background of the active interference immune sub-algorithm is as follows:
typically, the wireless devices of the mobile clients all see multiple base stations. The mobile client may have access to an open residential wireless network, a commercial wireless network, a corporate wireless network, or a mesh wireless network. At present, the number of radio devices and antennas is continuously increasing, and according to the results published after statistics, it is known that only a few time intervals and the capacity of the communication rate of the base stations in a few hot spot areas are utilized to the maximum extent, actually, most base stations often have residual capacity, and if 1 client device communicates with a plurality of base stations, the residual capacity of the plurality of base stations can be fully utilized at the same time;
for simplicity of illustration and formula derivation, it is assumed that a mobile client may have 2, or more, sets of antennas and transmit/receive systems. There are a plurality of base stations. Each base station only has 1 set of antenna and receiving/transmitting system, and the throughput of communication code streams between the mobile client and the base station and the reliability of wireless connection can be improved by utilizing multi-user, multi-input and multi-output (MU-MIMO) technology. For the uplink, we use multi-user beamforming on multiple antennas of the mobile client so that the client device can send multiple data streams to multiple base stations. For downlink, the same technique can be used to enable the base station device to simultaneously transmit multiple data streams to a mobile client. We call the device based on this technology a smart radiating antenna system that is compatible with existing communication standards. Only algorithm software and control software for an antenna and related hardware are added, so that the code stream communication throughput between the base station and the throughput between the base station and the mobile client can be remarkably improved, and the concept is verified through experiments;
the active interference immune sub-algorithm is mainly characterized in that:
the intelligent antenna is also called array antenna capable of beam forming, and is composed of an array formed by a plurality of antenna units, a beam forming network and a beam forming algorithm. The method adjusts the weighted amplitude and phase of each array element signal by an algorithm meeting a certain criterion, thereby adjusting the directional diagram shape of the antenna array, and achieving the purposes of enhancing the required signal and inhibiting the interference signal. The intelligent antenna technology is suitable for a communication system in a Time Division Duplex (TDD) mode, and can inhibit multi-user interference to a greater extent, so that the system capacity is improved;
the main characteristics are as follows: expanding the coverage and transmission area of the system; the system capacity is improved; the frequency spectrum utilization efficiency is improved; the transmitting power of the base station is reduced, and the system cost is saved; the interference between signals and the electromagnetic environment pollution are reduced; beamforming based on multi-user multiple-input and multiple-output techniques
Basic steps and logic of active interference immune sub-algorithm (based on Beamforming): first, taking an uplink from a mobile client to a base station as an example to explain a basic theoretical principle of beam forming, the principle of a downlink from the base station to the mobile client is the same, for an uplink direction of an intelligent radiation antenna system, all antennas of the mobile client are taken as 1 array, and parameters of each antenna are set, so that beam forming of array antennas is realized, and the array antennas after beam forming can communicate with 1 antenna of a certain 1 base station. After completing the transmission of a part of data, the antenna array of the mobile client can be shaped again in the next time interval according to the requirement, and the data is transmitted to 1 antenna of another 1 base station, in the time duration containing many time intervals, it is as if multi-user beam forming is formed, and the data stream is transmitted in parallel to a group of available base stations. To avoid the overhead of additional traffic, we use control and broadcast packets (e.g., beacons) to measure the downlink channel, then estimate the uplink channel using channel reciprocity, select the best capacity base station based on channel gain and other parameters, and as the mobile client moves, the performance parameters of the channel between the client and the connected base station will be changed, then the mobile client will also need to change the beamforming parameters to maintain a near-zero state of noise, and if the optimal subset of the selected connected base stations also changes sufficiently, the client device will initiate a mobile handoff between the two base stations to maintain the best communication state between the client and the base stations;
the basic theory of the active interference immune sub-algorithm for beam forming includes the following steps:
firstly, derivation of a matrix equation of antenna array parameters:
in the smart radiating antenna system, multi-user beam forming is a key uplink technology. Assuming that a mobile client has M antennas, it needs to perform beamforming to communicate with N base stations. Each base station has one antenna, and for multi-beam forming we can represent the signal received at base station i as:
in the above formula, x ═ x1, x2, …, xN]T is the transmitted signal vector for all N base station receivers, hi ═ hi, 1, hi, 2, …, hi, M]Is the channel vector from the mobile client to the base station receiver i, qi ═ qi, 1; qi, 2; …, respectively; qi, M]T is the antenna gain control vector from the mobile client to the base station receiver i for beamforming. n is a vector of additive noise and includes interference from other networks, si is a normalized mobile client antenna transmit signal, with transmit power Pi; in the above equation, the first term and the second term represent the expected transmission and interference, respectively, from other mobile clients, and each base station receiver treats the interference and noise as gaussian noise that can be simply added when decoding the received data packet. Therefore, the achievable sum total transport code stream rate is:
wherein
To maximize the bit stream rate R, the optimal values of qn and Pn may be selected. However, this is very complicated, especially when there are a large number of receivers. Minimizing the value of the denominator to be close to zero is another very effective method. Its advantage is simple method. The main idea is to choose qj correctly so that for all j not equal to i, hi × qj equals 0.
Assume that the client device transmits a data packet to S of the N base stations. Let H (S) and Q (S) denote respectively
And Q ═ Q1. qN]The sub-matrix of (2). To achieve the denominator minimum, Q (S) is solved. The solution of Q (S) is the pseudo-inverse of H (S);
Q(S)＝H(S)*(H(S)H(S)*)-1then Pj is selected according to the water fill algorithm to maximize the value of the total rate. Or other power distribution algorithms are used, and meanwhile, the equilibrium of communication signal power distribution among the base stations is considered, so that the Pj is selected.
The mobile client can control the size of the data packets transmitted to each base station so that transmissions to different base stations end at the same time. This can improve the spatial reuse rate. And can simplify the mechanism of ACKs. And after the base station successfully receives the data packets, the base station sends the ACK back to the mobile client. The client may then decode the ACK simultaneously using interference cancellation techniques.
Solving pseudo-inverse matrix by using Schulz loop iteration method
The formulation of the solution method is briefly described below. To solve the pseudo-inverse of H (S), if V is the pseudo-inverse of H, then
HV＝I
HV-1＝I-1
H＝-1
-1-H＝0
Let () ═ 1-H ═ 0
The following novel nonlinear solving formula is adopted for the above matrix equation;
Yn＝Vn-f′(Vn)-1f(Vn)-2-1
×(f′(Vn)-1f"(Vn))(f′(Vn)-1f(Vn))2，
Zn＝Yn-2-1f′(Yn)-1f(Yn)，
Vn+1＝Yn-f′(Zn)-1f(Yn)，n＝0，1，2，....
note that the above equation is novel and a new matrix iteration algorithm can be derived therefrom to efficiently solve the general inverse of the matrix. The following iterative method can find the inverse of a matrix:
the resulting scheme contains matrix exponentiation and is therefore very difficult to operate. In order to solve the problem, the iterative formula obtained above is rewritten to reduce the calculation amount and the matrix multiplication times so as to achieve the operation with high efficiency as much as possible;
ψn＝AVn，
ζn＝3I+ψn(-3I+ψn)，
vn＝ψnζn，
in the above formula, it is an identity matrix. If the matrix V is given a suitable initial value, the matrix sequence iteration { } ∞ to ∞ 0 will converge to-.
The iterative calculation procedure for reference is as follows.
Id＝SparseArray[{{i,i}->1.},{n,n}]；
V＝DiagonalMatrix@SparseArray[1/Normal[Diagonal[A]]]；
Do[V1＝SparseArray[V]；
V2＝Chop[A.V1]；V3＝3Id+V2.(-3Id+V2)；
V4＝SparseArray[V2.V3]；
V＝Chop[-(1/4)V1.V3.SparseArray[-13Id
+V4.(15Id+V4.(-7Id+V4))]]；
Print[V]；L[i]＝N[Norm[Id-V.A,1]]；
Print["The residual norm is:"
Column[{i},Frame->All,FrameStyle->Directive[Blue]]
Column[{L[i]},Frame->All,FrameStyle->Directive[Blue]]]；
,{i,1}]；//AbsoluteTiming
The data transmission quantity can be increased by 30% to 50% after the interference immunity algorithm is adopted. The correctness of the algorithm theory is verified.
In the embodiment, the beam forming antenna comprises an array consisting of a plurality of antenna units, a beam forming network, a beam forming algorithm, and three parts, wherein the beam forming antenna adjusts the weighted amplitude and phase of each array element signal by the algorithm meeting a certain criterion, so as to adjust the pattern shape of the antenna array, achieve the purposes of enhancing the required signal and inhibiting the interference signal, the intelligent antenna technology is suitable for a communication system of a time division multiplexing mode, can inhibit multi-user interference to a greater extent, thereby improving the system capacity, and can reduce the interference from 2 aspects, wherein one aspect is that the target receiving antenna can receive a larger signal due to the improvement of the spatial distribution of radio wave energy, while the non-target receiving antenna receives a smaller interference signal, and on the other hand, the total transmitted radio wave energy can be reduced under the condition that the signals have the same signal-to-noise ratio, thereby achieving the purpose of reducing the interference to the non-target antenna.
In this embodiment, the present invention further includes an NTPC, which is an intelligent power control technology for solving the near-far effect in the WLAN network, and improves the probability of the far-end station preempting the channel resource by reducing the power of the ACK packet sent to the near-end station, so as to achieve the purpose of load balancing between the near-end station and the far-end station.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A method for reducing radio frequency interference of a wireless network by adopting an interference immunity algorithm is characterized by comprising the following steps: the method specifically comprises the following steps:
the method comprises the following steps: an active roaming mechanism, namely a vehicle-mounted wireless terminal, a single soldier, a handheld terminal and other mobile wireless equipment, performs background scanning on adjacent base stations in a network in real time when the mobile wireless equipment moves among multiple wireless base station equipment, and requests in advance once the base stations with signal quality exceeding a certain threshold are found;
step two: starting the five-level network security protection;
step three: the method comprises the steps of performing online and offline GIS position management on wireless equipment based on GIS comprehensive network management, monitoring the running state of the wireless equipment in detail, including but not limited to equipment resource occupation, working voltage, working temperature, port negotiation rate, receiving/sending throughput, signal field intensity value, CCQ, SNR and link on-off, and supporting alarm reminding, alarm dictionary query and alarm log query on each parameter and link of the equipment;
step four: TDMA time division multiple access;
step five: DRA delay rate adaptation, which avoids the influence of high interference similar to strong pulse on a wireless base station and improves the transmission efficiency of the system in an interference environment;
step six: the passive sub-algorithm carries out operation based on input data, and after an operation result is obtained, the result is submitted to a higher-level software control management module; and the control management module sets a corresponding communication channel, then, under the setting of the communication channel, the active subprogram performs operation based on input data to obtain an operation result, the operation result is uploaded to a higher-level software control management module, the control management module sets a corresponding radio frequency front end, the passive subprogram starts to work again, and the process is circulated.
2. The method of claim 1, wherein the method for reducing radio frequency interference of the wireless network by using the interference immunity algorithm comprises: the system also comprises an NTPC (network node controller), and an intelligent power control technology for solving the near-far effect in the WLAN, wherein the technology improves the probability of the far-end site preempting the channel resources by reducing the power of the ACK (acknowledgement character) message sent to the near-end site, so that the aim of load balancing between the near-end site and the far-end site is fulfilled.
3. The method of claim 1, wherein the method for reducing radio frequency interference of the wireless network by using the interference immunity algorithm comprises: the passive interference immune sub-algorithm is used for performing background analysis on the distribution and occupation conditions of peripheral radio frequency points in the operation process of all wireless equipment, finding that the same frequency and adjacent frequency interference occur with certain frequency and last for certain time, starting the passive interference immune sub-algorithm, automatically avoiding the frequency points with higher occupancy rate, flexibly selecting pure frequency points in a set frequency width for data communication, and ensuring low delay and real-time transmission of service data.
4. The method of claim 1, wherein the method for reducing radio frequency interference of the wireless network by using the interference immunity algorithm comprises: the active interference immune sub-algorithm is used for trying to reduce wireless signal interference emitted by a radio frequency front end and reduce received interference, and is realized based on a method for carrying out beam forming on an antenna array of a mobile client.
5. The method of claim 4, wherein the interference immunity algorithm is applied to reduce radio frequency interference of the wireless network, and the method further comprises: the beam forming antenna is composed of an array composed of a plurality of antenna units, a beam forming network and a beam forming algorithm, the weighted amplitude and the phase of each array element signal are adjusted through the algorithm meeting a certain criterion, so that the directional diagram shape of the antenna array is adjusted, the purposes of enhancing the required signals and inhibiting interference signals are achieved, the intelligent antenna technology is suitable for a communication system with time division multiplexing and a mode, and multi-user interference can be inhibited to a greater extent, so that the system capacity is improved.
6. The method of claim 1, wherein the method for reducing radio frequency interference of the wireless network by using the interference immunity algorithm comprises: the system also comprises an NTPC (network node controller), an intelligent power control technology for solving the near-far effect in the WLAN (wireless local area network), wherein the NTPC is used for improving the probability of the far-end site preempting the channel resources by reducing the power of the ACK (acknowledgement character) message sent to the near-end site so as to achieve the purpose of load balancing between the near-end site and the far-end site.
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