CN106685867B - Uplink noise suppression method with adaptive noise threshold in LTE distributed relay system - Google Patents
Uplink noise suppression method with adaptive noise threshold in LTE distributed relay system Download PDFInfo
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Abstract
The invention discloses an uplink noise suppression method with a self-adaptive noise threshold in an LTE (Long term evolution) distributed relay system, which comprises the following steps: adding a bottom noise suppression module in a baseband digital signal processing unit of a remote unit in the uplink direction, and passing a received LTE uplink digital baseband signal through an analysis filter bank to obtain sub-band digital signals of each resource block; then, calculating the power value of the digital signal of each resource block and the current bottom noise power value by a power calculation unit; updating the current noise threshold value by a self-adaptive noise threshold module to obtain a noise opening threshold and a noise closing threshold; then comparing the power of the digital signal of each resource block calculated currently with a noise threshold in a judging unit, and setting the sub-band signal with lower power to zero according to a corresponding comparison judging method to achieve the effect of inhibiting bottom noise; and the sub-band signals of each resource block after noise suppression pass through a comprehensive filter bank to obtain the reconstructed LTE digital baseband signals.
Description
Technical Field
The invention relates to optimization of noise threshold setting in an uplink noise suppression method based on a filter bank, which is applied to an LTE (Long term evolution) distributed digital relay communication system and belongs to the field of wireless communication.
Background
Due to the transmission characteristics of wireless signals and the limitations of various terrains, signals are continuously weakened in the signal transmission process, so that the signals cannot reach certain specific regions, the specific regions are called as 'blind areas', for example, in regions such as high buildings, basements, tunnels, subways, urban edges, suburbs and the like, and effective communication cannot be realized by mobile equipment of people in the blind areas. Aiming at The problem of blind areas, The method is currently applied to 3GPP (The 3)rdA Relay technology is introduced in the Generation Partnership Project (third Generation Partnership Project) protocol LTE (Long Term Evolution) to extend the coverage of wireless signals.
In the prior art, the LTE distributed digital relay is a good choice for extending the coverage of a base station and eliminating signal coverage blind areas. The radio frequency signal repeater has the function of receiving, amplifying and then retransmitting a radio frequency signal sent by a base station or a mobile station, plays a role of signal relay amplification, and is same-frequency amplification equipment in a wireless communication system. An LTE digital relay system is typically composed of one near-end unit and a plurality of distributed remote units.
The basic principle of the work is as follows: the near-end unit faces the base station end, and the donor antenna of the near-end unit is generally arranged at the position where the donor base station signal is good, so that the repeater can receive a stable signal source, and the performance of the repeater is better exerted. The far-end unit is oriented to the user side, the hardware circuit and the function of the far-end unit are basically similar to those of the near-end unit, and the far-end unit and the near-end unit are connected through optical fibers or cables. In an uplink, a radio frequency transceiver module of a remote unit receives an uplink radio frequency signal from a user terminal through a duplexer by an integrated antenna, and the radio frequency signal is converted into a digital signal by an integrated radio frequency transceiver and then transmitted to a digital baseband processing module; after the digital signals are subjected to synchronization, automatic gain control, digital filtering and other processing in the digital baseband processing module, the digital signals are packed into serial data according to a certain frame format and sent to the digital interface module; the digital interface module converts corresponding digital signals into optical signals or Ethernet signals according to different adopted transmission media, such as optical fibers and cables, and sends the optical signals or the Ethernet signals to the near-end unit. The digital interface module of the near-end unit converts the optical signal or Ethernet signal received from the far-end unit into a corresponding digital receiving signal after deframing; then the digital baseband processing module digitally combines the multiple paths of digital signals, processes the digital signals, converts the digital signals DA into radio frequency signals through an integrated radio frequency transceiver of the radio frequency transceiver module, and finally sends the radio frequency signals DA to a base station through a duplexer and an integrated antenna. The downlink workflow is the reverse of the uplink workflow.
Although the distributed digital relay has the advantages of expanding the coverage area of the base station, having small long-distance transmission fading, being flexible in networking mode and the like, the LTE digital optical fiber repeater still has the defect that the base station bottom noise is raised, and the uplink receiving sensitivity of the base station is seriously affected, so that the utilization rate of the base station is reduced. Aiming at the defect of bottom noise rise, people propose to add a bottom noise suppression module at a relay end to suppress the influence of bottom noise, and the principle is mainly that a received LTE digital baseband signal passes through an analysis filter bank to obtain sub-band digital signals of each resource block; and then calculating the energy of the digital signal of each resource block, comparing the currently calculated energy with a set noise threshold, outputting the sub-band signal of the resource block to be 0 when the energy spectrum of the input signal is less than the noise threshold, and outputting the input signal of the sub-band of the resource block without distortion if the energy of the input signal is more than the noise threshold. The invention mainly aims at the setting of the noise threshold to be further optimized.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the prior art, an uplink noise suppression method based on a filter bank is provided, is suitable for an LTE communication system, and is used for solving the problem of base station noise rise of an LTE digital relay system in the prior art.
The technical scheme is as follows: an uplink noise suppression method with a self-adaptive noise threshold in an LTE distributed relay system comprises the following steps:
in the bottom noise suppression module of the remote unit, firstly, a received LTE uplink digital baseband signal passes through an analysis filter bank to obtain sub-band digital signals of each resource block; then, the power of the digital signal of each resource block and the power of the current bottom noise are calculated by the independent power calculation unit; updating a current noise threshold value by the self-adaptive noise threshold module according to the calculated current bottom noise power to obtain a noise opening threshold and a noise closing threshold; then comparing the power of the digital signal of each currently calculated resource block with a noise threshold in a judging unit, when the detection power value of the input signal is smaller than the noise closing threshold, outputting the sub-band signal of the resource block to be 0, and if the detection power value of the input signal is gradually increased and is larger than the noise opening threshold, outputting the sub-band input signal of the resource block without distortion; and after each resource block subband signal passes through the power calculation and discrimination unit, the signal passes through a comprehensive filter bank corresponding to the analysis filter bank, so that a reconstructed LTE digital baseband signal is obtained.
Further, in the above-mentioned case,for the digital signals of each resource block subband filtered by one M-channel analysis filter bank, the method for calculating the signal power of the power calculation unit in real time comprises the following steps: observing the average power of the digital symbols in the calculation window through a window with the size of N, wherein the signal y to be calculatedk(n) the symbols are shifted sequentially through a window, the detected power Ek(n) is represented by:
wherein the digital signal is yk(n), where k is 0, 1., M-1, which is a signal of a kth resource block subband obtained after an LTE digital baseband signal passes through an M-channel analysis filter bank; n is the window size of the power calculation unit; y isk(n-i) denotes the i sample points y beforek(n) a value;
the method for calculating the current background noise power by the power calculation unit comprises the following steps: analyzing the signal of the sub-band of the non-LTE uplink resource block filtered by the filter as the current bottom noise, and calculating the power of the current bottom noise to obtain the power P of the current environmental noisen(i)。
Further, in the adaptive noise threshold module, the noise turn-on threshold Pth1(i) This is given by:
Pth1(i)＝Pth0+β(i)
wherein, Pth0Is a preset initial value of a noise opening threshold, beta (i) is a noise threshold variable quantity, Pn(i-1) ambient noise Power at last time, CpAnd alpha is two parameters for controlling the change of the threshold, alpha is used for changing the overall fluctuation trend speed of the threshold, CpFor varying the range of threshold instantaneous jitter;
the noise turn-off threshold Pth2(i) Is obtained by the following formula:
Pth2(i)＝Pth1(i)-Dif(dB)
wherein Dif is the difference between the noise opening threshold and the noise closing threshold, and Dif is 3-5 dB.
Has the advantages that: (1) the method is applied to a remote unit of an LTE distributed relay system, a bottom noise suppression module is added in the uplink transmission direction, filter bank filtering is carried out on the uplink baseband digital signal, interference of noise outside a signal band can be effectively removed, power detection and threshold discrimination of the baseband signal of each resource block sub-band after filtering are carried out, and bottom noise is suppressed through comparison with a noise opening threshold and a noise closing threshold. The LTE distributed relay system only amplifies uplink useful signals, so that the defect that the base noise of the base station is raised is effectively avoided, and the uplink receiving sensitivity of the base station is greatly improved.
(2) The invention sets two noise thresholds, namely a noise opening threshold and a noise closing threshold, instead of the traditional noise threshold, and has the advantage of avoiding the truncation nonlinear error caused by the wrong judgment of a useful signal due to the frequent switching of a switch of a decision device.
(3) The invention adopts the self-adaptive noise threshold setting module to update the noise threshold in real time, so that the noise threshold value can be changed along with the change of environmental noise, the suppression of bottom noise is more accurate, and the unreasonable setting of the noise judgment threshold when the bottom noise is changed is avoided.
Drawings
Fig. 1 is a structural block diagram of an LTE distributed digital relay system to which the present invention is applicable.
Fig. 2 is a schematic block diagram of an uplink background noise suppression module according to the present invention.
Fig. 3 is a schematic diagram of the operation of the adaptive noise threshold in the present invention.
FIG. 4 is a simulation diagram of the noise turn-on threshold with noise energy update condition of the adaptive threshold method of the present invention.
Fig. 5 is a comparison graph of bit error rate simulation of a system using the noise suppression module of the present invention and a conventional method.
Detailed Description
The invention is further explained below with reference to the drawings.
Fig. 1 is a structural block diagram of an LTE distributed digital relay system to which the present invention is applicable. As shown in fig. 1, an LTE distributed digital relay system is generally composed of one near-end unit and a plurality of distributed remote units. The near-end unit faces the base station end, and the donor antenna of the near-end unit is generally arranged at the position where the donor base station signal is good, so that the repeater can receive a stable signal source, and the performance of the repeater is better exerted. The far-end unit is oriented to the user side, the hardware circuit and the function of the far-end unit are basically similar to those of the near-end unit, and the far-end unit and the near-end unit are connected through optical fibers or cables. Flexible networking mode can be provided between each far-end unit and each near-end unit to meet the requirement of the communication system.
Fig. 2 shows a schematic block diagram of an uplink bottom noise suppression module according to the present invention. As shown in fig. 2, the bottom noise suppression method in the LTE distributed relay system of the present invention is performed by the following steps:
1) setting the channel number of a filter bank needing to be analyzed as M and the analysis filter bank of the filter bank with the M channels as H according to the number of resource blocks in the LTE system0(z),H1(z),...,HM-1(z) the corresponding synthesis filter bank is G0(z),G1(z),...,GM-1(z). After the LTE digital baseband signal passes through the M-channel analysis filter bank, a sub-band digital signal y of each resource block is obtained0(n),y1(n),...,yM-1(n)。
2) For calculating digital signals y in real timek(N) power, the average power of the digital symbols in the calculation window being observed through a window of size N, signal ykAnd (n) sequentially shifting the symbols through the window. Detected power Ek(n) can be represented as:
wherein N is the window size of the power calculation unit; y isk(n-i) denotes the i sample points y beforek(n) value.
3) Analyzing signals of non-LTE uplink resource block sub-bands filtered by filterThat is, the current background noise is obtained by calculating the power of the current background noise, that is, the power P of the current environmental noise is obtainedn(i)。
4) Setting initial value P of noise opening threshold in self-adaptive noise threshold moduleth0Parameter C of the control threshold variationpAnd alpha, Pth0The interference caused by non-white Gaussian noise, such as in-band harmonic wave, single spectrum interference and the like can be reduced; the current noise opening threshold value P is obtained by the following formulath1(i)。
Pth1(i)＝Pth0+β(i)
And opening the threshold value P from the obtained noiseth1(i) Calculating to obtain the current noise closing threshold value P according to the following formulath2(i)。
Pth2(i)＝Pth1(i)-Dif(dB)
Where β (i) is the noise threshold variation, PnAnd (i-1) is the environmental noise power at the last moment, Dif is the difference value between the noise opening threshold and the noise closing threshold, and Dif is generally 3-5 dB. When alpha gets larger, the threshold PthThe speed of change with noise is slower, otherwise it is faster. And CpThe magnitude of the threshold jitter amplitude can be controlled to be directly influenced by the input noise. Therefore, α mainly affects the overall fluctuation trend, CpMainly affecting the range of its instantaneous jitter. Alpha and CpThe value of (A) is determined by comprehensive consideration, and has a great relationship with the size of a system power detection window and the number of time slot symbols of an LTE system, CpUsually, the value is 0.5-3.0, and the value of alpha can be 100-1000.
5) Comparing the power value calculated in the step 2) with a noise threshold, and if the current system is in a noise suppression state, only calculating the energy value Ek(n) greater than a noise turn-on threshold Pth1(i) Only if the sub-band digital signal of the resource block passes through without distortion, the system enters a signal passing state, otherwise, the system is set to be 0; if the current system is in the signal passing state, only the calculated energy value Ek(n) is smallAt noise turn-off threshold Pth2(i) And setting the sub-band digital signal of the resource block to be 0, and enabling the system to enter a noise suppression state, otherwise, enabling the system to pass through without distortion.
6) The obtained sub-band signal of each resource block subjected to noise suppressionThrough the synthesis filter bank G in the step 1)0(z),G1(z),...,GM-1(z) to obtain a reconstructed digital baseband signal x' (n). And x' (n) is the digital baseband signal after passing through the bottom noise suppression module.
Fig. 3 is a schematic diagram of the operation of the adaptive noise threshold. As shown in FIG. 3, y0(n),y1(n),...,yM-1(n) the power in each subband and the power P of the current environmental noise are obtained by calculating the sum of squares of the digital signals of each subband output from the analysis filter bankn(i) (ii) a The self-adaptive threshold module is used for judging the power P according to the current environmental noisen(i) Updating the current noise threshold value in real time; and the decision device compares the energy in each sub-band with a decision threshold to obtain a decision result.
Fig. 4 is a simulation diagram showing the noise turn-on threshold of the adaptive threshold method according to the update condition of noise energy. As shown in fig. 4, in the simulation, the value of the parameter α for controlling the threshold variation is 800, CpWith a value of 2, it can be found that when the environmental noise changes, the threshold value can be adaptively adjusted along with the change of the environmental noise.
Fig. 5 is a diagram comparing bit error rate simulation of a system using the noise suppression module of the present invention and a conventional method. As shown in fig. 4, in the simulation, n is 2, which means that there are 2 remote units in the relay system, and it can be seen from the simulation curve that the noise suppression module using the method of the present invention can further improve the signal-to-noise ratio, so that the bit error rate of the system is better improved.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (2)
1. An uplink noise suppression method with a self-adaptive noise threshold in an LTE distributed relay system is characterized by comprising the following steps:
in a bottom noise suppression module of a remote unit, firstly, a received LTE uplink digital baseband signal passes through an analysis filter bank to obtain sub-band digital signals of each resource block; then, the power of the digital signal of each resource block and the power of the current bottom noise are calculated by the independent power calculation unit; updating a current noise threshold value by the self-adaptive noise threshold module according to the calculated current bottom noise power to obtain a noise opening threshold and a noise closing threshold; then comparing the power of the digital signal of each currently calculated resource block with a noise threshold in a judging unit, when the detection power value of the input signal is smaller than the noise closing threshold, outputting the sub-band signal of the resource block to be 0, and if the detection power value of the input signal is gradually increased and is larger than the noise opening threshold, outputting the sub-band input signal of the resource block without distortion; after each resource block sub-band signal passes through the power calculation and discrimination unit, the signal passes through a comprehensive filter bank corresponding to the analysis filter bank, so that a reconstructed LTE digital baseband signal is obtained;
in the adaptive noise threshold module, the noise turn-on threshold Pth1(i) This is given by:
Pth1(i)＝Pth0+β(i)
wherein, Pth0Is a preset initial value of a noise opening threshold, beta (i) is a noise threshold variable quantity, Pn(i-1) ambient noise Power at last time, CpAnd alpha is two parameters for controlling the change of the threshold, alpha is used for changing the overall fluctuation trend speed of the threshold, CpFor varying the range of threshold instantaneous jitter;
the noise turn-off threshold Pth2(i) Is obtained by the following formula:
Pth2(i)＝Pth1(i)-Dif(dB)
wherein Dif is the difference between the noise opening threshold and the noise closing threshold, and Dif is 3-5 dB.
2. The uplink noise suppression method with adaptive noise threshold in LTE distributed relay system according to claim 1, wherein: for the digital signals of each resource block subband filtered by one M-channel analysis filter bank, the method for calculating the signal power of the power calculation unit in real time comprises the following steps: observing the average power of the digital symbols in the calculation window through a window with the size of N, wherein the signal y to be calculatedk(n) the symbols are shifted sequentially through a window, the detected power Ek(n) is represented by:
wherein the digital signal is yk(n), where k is 0, 1., M-1, which is a signal of a kth resource block subband obtained after an LTE digital baseband signal passes through an M-channel analysis filter bank; n is the window size of the power calculation unit; y isk(n-i) denotes the i sample points y beforek(n) a value;
the method for calculating the current background noise power by the power calculation unit comprises the following steps: analyzing the signal of the sub-band of the non-LTE uplink resource block filtered by the filter as the current bottom noise, and calculating the power of the current bottom noise to obtain the power P of the current environmental noisen(i)。
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| CN109428625B (en) * | 2017-08-24 | 2020-12-04 | 大唐移动通信设备有限公司 | Cell signal merging transmission method and device |
| CN108521657B (en) * | 2018-03-28 | 2021-05-28 | 京信通信系统（中国）有限公司 | Uplink background noise optimization method, device and system for multi-service digital distribution system |
| CN108696927A (en) * | 2018-05-26 | 2018-10-23 | 四川省大见通信技术有限公司 | Digital junction equipment and the method for wireless network non-blind area covering and reducing power consumption |
| CN110572224B (en) * | 2019-08-22 | 2022-03-15 | 三维通信股份有限公司 | Method, device, system and readable storage medium for reducing base station receiving background noise |
| CN110784916A (en) * | 2019-10-30 | 2020-02-11 | 陕西天基通信科技有限责任公司 | Self-adaptive control method and system according to terminal user traffic |
| CN113131952B (en) * | 2019-12-31 | 2022-10-14 | 海能达通信股份有限公司 | Blocking signal suppression method, signal demodulation method, device and related equipment |
| CN115291171B (en) * | 2022-08-08 | 2023-08-29 | 扬州宇安电子科技有限公司 | Filtering method based on digital channelization |
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