CN111082883B - Modeling control method for wireless channel basic fading model based on computer software system - Google Patents
Modeling control method for wireless channel basic fading model based on computer software system Download PDFInfo
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- H—ELECTRICITY
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- H04B17/00—Monitoring; Testing
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- H04B17/391—Modelling the propagation channel
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- H04B17/0082—Monitoring; Testing using service channels; using auxiliary channels
- H04B17/0087—Monitoring; Testing using service channels; using auxiliary channels using auxiliary channels or channel simulators
Abstract
The invention relates to a modeling control method for realizing a basic fading model of a wireless channel based on a computer software system, which comprises the following steps: generating corresponding CW data according to the received configuration parameters; judging the fading type, and calculating a fading coefficient according to the fading type; and carrying out subsequent processing on the fading coefficient and the input signal. The modeling control method for the wireless channel basic fading model based on the computer software system is adopted, the filter coefficient with the specified requirement is generated through software according to the configuration requirement, the random number which follows Gaussian distribution is generated through hardware, and meanwhile, the operations such as convolution and the like are completed inside the hardware, so that the channel modeling is realized. The invention can cover the modeling of various basic fading models, and can appoint the time length of channel simulation by modifying the length of the random number, thereby greatly improving the flexibility of channel modeling of the channel simulator.
Description
Technical Field
The invention relates to the field of communication, in particular to the field of wireless communication systems, and specifically relates to a modeling control method for realizing a basic fading model of a wireless channel based on a computer software system.
Background
The performance of a wireless communication system is mainly determined by the wireless channel environment, and understanding of the wireless channel is a necessary premise for designing a wireless transmission technology with high performance and high spectral efficiency. However, in a practical environment, a wireless channel is dynamic and unpredictable, which brings problems of large resource consumption, unrepeatable test results and the like to field measurement. This is the birth of the channel simulator induced by these problems.
The traditional channel simulator modeling mode mainly generates the required channel coefficient according to the configuration parameter and then sends the coefficient to hardware, and has the main disadvantages that the time consumed by generating the coefficient is long when the number of channels is large, the time is required to be more than tens of minutes, and new channel coefficient generation still needs to be waited for when the configuration parameter is changed.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a modeling control method for realizing a basic fading model of a wireless channel based on a computer software system, which has high flexibility, small error and wider application range.
In order to achieve the above object, the method for modeling and controlling a basic fading model of a wireless channel based on a computer software system of the present invention comprises:
the modeling control method for the wireless channel basic fading model based on the computer software system is mainly characterized by comprising the following steps of:
(1) the system generates corresponding CW data according to the received configuration parameters;
(2) the system judges the fading type and calculates the fading coefficient according to the fading type;
(3) the system performs subsequent processing on the fading coefficients and the input signal.
Preferably, the fading types in step (2) include pure doppler type, constant type, Nakagami type, logarithmic type, Jakes type, flat type, gaussian type, Round type and rice type.
Preferably, the step (2) specifically comprises the following steps:
(2.1) judging whether the fading type is a pure Doppler type, if so, determining the CW data as the fading coefficient, and continuing to the step (3); otherwise, continuing the step (2.2);
(2.2) judging whether the fading type is a constant type, if so, calculating a fading coefficient according to the CW data and the additional fading coefficient; otherwise, continuing the step (2.3);
(2.3) generating a random number, judging whether the fading type is Nakagami type, and if so, calculating the fading coefficient according to a formula; otherwise, continuing the step (2.4);
(2.4) judging whether the fading type is logarithmic or not, if so, obtaining the amplitude distribution of the fading coefficient according to the configuration parameters, generating a filter coefficient, and obtaining the fading coefficient; otherwise, continuing the step (2.5);
(2.5) judging whether the fading type is a Jakes type, a flat type, a Gaussian type, a Round type or a Rice type, if so, generating a random number, generating an amplitude coefficient which obeys Rayleigh distribution, convolving the amplitude distribution with a corresponding filter coefficient to obtain a fading coefficient, and executing the step (2.6); otherwise, continuing the step (3);
and (2.6) judging whether the fading type is a Rice type, if so, adding a Rice K factor to the CW data, adding the fading coefficient in the step (2.5) to calculate a Rice type fading coefficient, and exiting the step.
Preferably, the step (2.3) calculates a fading coefficient, specifically:
the fading coefficient is calculated according to the following formula:
where m is a mean value representing the degree of fading, ω is a mean value representing the visible scattering angle, and v is a random number generated by hardware that obeys N (0, 1).
Preferably, the step (2.4) specifically includes the following steps:
(2.4.1) judging whether the fading type is logarithmic or not, if so, continuing the step (2.4.2); otherwise, continuing the step (2.5);
(2.4.2) modifying the mean value and the variance of the random number according to the configuration parameters to obtain the amplitude distribution of the fading coefficient;
and (2.4.3) generating a filter coefficient, and performing convolution calculation to obtain a fading coefficient.
Preferably, the filter coefficients of the Jakes type, the flat type, the gaussian type and the Round type in the step (2.5) are different.
Preferably, the configuration parameters in step (1) are sampling rate, number of sampling points and maximum doppler shift.
The modeling control method for the wireless channel basic fading model based on the computer software system is adopted, the filter coefficient with the specified requirement is generated through software according to the configuration requirement, the random number which follows Gaussian distribution is generated through hardware, and meanwhile, the operations such as convolution and the like are completed inside the hardware, so that the channel modeling is realized. The invention can cover the modeling of various basic fading models, and can appoint the time length of channel simulation by modifying the length of the random number, thereby greatly improving the flexibility of channel modeling of the channel simulator.
Drawings
Fig. 1 is a structural block diagram of a computer-based software system implementing a modeling control method for a basic fading model of a wireless channel according to the present invention.
Fig. 2 is a flowchart of a method for implementing modeling control for a basic fading model of a wireless channel based on a computer software system according to the present invention.
Fig. 3 is a flowchart for calculating the Nakagami type fading coefficient according to the present invention, which is implemented based on a computer software system to implement a modeling control method for a basic fading model of a wireless channel.
Fig. 4 is a flowchart of calculating logarithmic fading coefficients for implementing a modeling control method for a wireless channel basic fading model based on a computer software system according to the present invention.
Fig. 5 is a flowchart for calculating the fading coefficients of Jakes type, flat type, gaussian type or Round type according to the method for modeling and controlling the basic fading model of the wireless channel based on the computer software system.
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
The invention discloses a modeling control method for a wireless channel basic fading model based on a computer software system, which comprises the following steps:
(1) the system generates corresponding CW data according to the received configuration parameters;
(2) the system judges the fading type and calculates the fading coefficient of the fading type; the method comprises the following steps:
(2.1) judging whether the fading type is a pure Doppler type, if so, determining the CW data as the fading coefficient, and continuing to the step (3); otherwise, continuing the step (2.2);
(2.2) judging whether the fading type is a constant type, if so, calculating a fading coefficient according to the CW data and the additional fading coefficient; otherwise, continuing the step (2.3);
(2.3) generating a random number, judging whether the fading type is Nakagami type, and if so, calculating the fading coefficient according to a formula; otherwise, continuing the step (2.4);
(2.4) judging whether the fading type is logarithmic or not, if so, obtaining the amplitude distribution of the fading coefficient according to the configuration parameters, generating a filter coefficient, and obtaining the fading coefficient; otherwise, continuing the step (2.5);
(2.4.1) judging whether the fading type is logarithmic or not, if so, continuing the step (2.4.2); otherwise, continuing the step (2.5);
(2.4.2) modifying the mean value and the variance of the random number according to the configuration parameters to obtain the amplitude distribution of the fading coefficient;
(2.4.3) generating a filter coefficient, and performing convolution calculation to obtain a fading coefficient;
(2.5) judging whether the fading type is a Jakes type, a flat type, a Gaussian type, a Round type or a Rice type, if so, generating a random number, generating an amplitude coefficient which obeys Rayleigh distribution, convolving the amplitude distribution with a corresponding filter coefficient to obtain a fading coefficient, and executing the step (2.6); otherwise, continuing the step (3);
and (2.6) judging whether the fading type is a Rice type, if so, adding a Rice K factor to the CW data, adding the fading coefficient in the step (2.5) to calculate a Rice type fading coefficient, and exiting the step.
(3) The system performs subsequent processing based on the fading coefficient and the input signal.
As a preferred embodiment of the present invention, the fading types in step (2) include pure doppler type, constant type, Nakagami type, logarithmic type, Jakes type, flat type, gaussian type, Round type and rice type.
As a preferred embodiment of the present invention, the step (2.3) calculates a fading coefficient, specifically:
the fading coefficient is calculated according to the following formula:
where m is a mean value representing the degree of fading, ω is a mean value representing the visible scattering angle, and v is a random number generated by hardware that obeys N (0, 1).
As a preferred embodiment of the present invention, the filter coefficients of Jakes type, flat type, gaussian type and Round type in the step (2.5) are different.
In a preferred embodiment of the present invention, the configuration parameters in step (1) are a sampling rate, a number of sampling points, and a maximum doppler shift.
In the specific implementation mode of the invention, a modeling is carried out on a basic fading model of a channel based on a shaping filter method, a software and hardware combined processing mode is adopted, the generation of filter coefficients and random numbers is separately processed based on the shaping filter method, the former is handed to software to process, the latter is processed by hardware, and finally convolution and other operations between the two are completed by hardware. The method can realize modeling of basic fading models such as Constant fading, Pure Doppler fading, Nakagami fading, Lognnormal fading, Jakes fading, Rice fading and the like, simultaneously, the channel duration is related to the length of the random number, the filter coefficient and the random number are processed separately, and the flexibility of channel modeling of the channel simulator is greatly improved.
The fading types in the description of the invention and the drawings include the following: pure Doppler type (Pure Doppler), Constant type (Constant), Nakagami type (Nakagami), logarithmic type (Lognnorm), Jakes type (Jakes), Flat type (Flat), Gaussian type (Gaussian), Round type (Round), and Rice type (Rice).
The invention discloses a modeling control method for a wireless channel basic fading model based on a computer software system, which comprises the following steps:
step 1, hardware generates corresponding CW data according to received configuration parameters such as maximum Doppler shift, data update rate, arrival angle and the like;
step 2, judging the fading type, and executing step 3 if the fading type is Pure Doppler; if the fading type is Constant, executing step 4; performing step 5 if the fading type is Nakagami; if the fading type is Lognormal, performing step 6; if the fading type is Jakes or Flat or Gaussian or Round, executing step 7; if the fading model is rice type, step 8 is performed. The specific execution flow is shown in fig. 2.
And 3, generating Pure Doppler fading, wherein the CW data generated in the step 1 is the required fading coefficient.
And 4, Constant fading generation, wherein the CW data generated in the step 1 is configured to be all '1' data, and the data is multiplied by an additional fading coefficient (between 0 and 1).
Step 5, Nakagami fading generation, the generation of the fading channel can be according to the following formula,
wherein m and omega are configuration parameters which are respectively used for representing the average values of the fading degree and the visible scattering angle; v is a hardware generated random number obeying N (0, 1).
The generation process of the fading coefficient is shown in fig. 3.
Step 6, Lognormal fading generation, wherein a random number obeying N (0, 1) is generated by hardware, the mean and variance of the random number are modified according to configuration parameters to obtain the amplitude distribution of the fading coefficients, meanwhile, the required filter coefficients are generated by software, and the final fading coefficients can be obtained by performing convolution operation on the two generated coefficients, wherein the specific operation process is shown in fig. 4.
And 7, generating the Jakes/Flat/Gaussian/Round fading, wherein the four basic fading models are formed in the same mode, mainly because the amplitude distribution obeys Rayleigh distribution, the amplitude distribution is convolved with corresponding filter coefficients, and the difference is that the filter coefficients are different. The rayleigh distribution is mainly implemented by two random number generators, as shown in fig. 5.
And 8, generating the Rice fading, wherein the Rice fading coefficient is formed by multiplying CW data by a Rice K factor and then adding the Rice K factor and the Jakes fading coefficient.
And 9, carrying out subsequent processing on the fading coefficients and the input signals in the steps 3-8.
The modeling control method for the wireless channel basic fading model based on the computer software system is adopted, the filter coefficient with the specified requirement is generated through software according to the configuration requirement, the random number which follows Gaussian distribution is generated through hardware, and meanwhile, the operations such as convolution and the like are completed inside the hardware, so that the channel modeling is realized. The invention can cover the modeling of various basic fading models, and can appoint the time length of channel simulation by modifying the length of the random number, thereby greatly improving the flexibility of channel modeling of the channel simulator.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (3)
1. A modeling control method for a wireless channel basic fading model based on a computer software system is characterized by comprising the following steps:
(1) the system generates corresponding CW data according to the received configuration parameters;
(2) the system judges the fading type and calculates the fading coefficient according to the fading type;
(3) the system carries out subsequent processing on the fading coefficient and the input signal;
the fading types in step (2) include pure doppler type, constant type, Nakagami type, logarithmic type, Jakes type, flat type, gaussian type, Round type and rice type;
the step (2) specifically comprises the following steps:
(2.1) judging whether the fading type is a pure Doppler type, if so, determining the CW data as the fading coefficient, and continuing to the step (3); otherwise, continuing the step (2.2);
(2.2) judging whether the fading type is a constant type, if so, calculating a fading coefficient according to the CW data and the additional fading coefficient; otherwise, continuing the step (2.3);
(2.3) generating a random number, judging whether the fading type is Nakagami type, and if so, calculating the fading coefficient according to a formula; otherwise, continuing the step (2.4);
(2.4) judging whether the fading type is logarithmic or not, if so, obtaining the amplitude distribution of the fading coefficient according to the configuration parameters, generating a filter coefficient, and obtaining the fading coefficient; otherwise, continuing the step (2.5);
(2.5) judging whether the fading type is a Jakes type, a flat type, a Gaussian type, a Round type or a Rice type, if so, generating a random number, generating an amplitude coefficient which obeys Rayleigh distribution, convolving the amplitude distribution with a corresponding filter coefficient to obtain a fading coefficient, and executing the step (2.6); otherwise, continuing the step (3);
(2.6) judging whether the fading type is a rice type, if so, adding a rice K factor to the CW data, adding the fading coefficient in the step (2.5) to calculate a rice type fading coefficient, and exiting the step;
the step (2.3) of calculating the fading coefficient specifically comprises:
the fading coefficient is calculated according to the following formula:
wherein m is a mean value representing the degree of fading, ω is a mean value representing the visible scattering angle, and v is a random number generated by hardware and subject to N (0, 1);
the step (2.4) specifically comprises the following steps:
(2.4.1) judging whether the fading type is logarithmic or not, if so, continuing the step (2.4.2); otherwise, continuing the step (2.5);
(2.4.2) modifying the mean value and the variance of the random number according to the configuration parameters to obtain the amplitude distribution of the fading coefficient;
and (2.4.3) generating a filter coefficient, and performing convolution calculation to obtain a fading coefficient.
2. The method for modeling and controlling a basic fading model of a wireless channel based on a computer software system according to claim 1, wherein the filter coefficients of the Jakes type, the flat type, the gaussian type and the Round type in the step (2.5) are different.
3. The method for modeling and controlling a basic fading model of a wireless channel based on a computer software system as claimed in claim 1, wherein the configuration parameters of step (1) are sampling rate, number of sampling points and maximum doppler shift.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1805312A (en) * | 2005-12-23 | 2006-07-19 | 西安交通大学 | Radio environment emulation method in cellular radio communication system |
| CN101425854A (en) * | 2007-10-29 | 2009-05-06 | 大唐移动通信设备有限公司 | Link calibration method and device |
| KR101110025B1 (en) * | 2010-12-06 | 2012-02-29 | 한국과학기술원 | Method for processing signal in fmcw radar |
| CN105049142A (en) * | 2015-07-16 | 2015-11-11 | 中国电子科技集团公司第四十一研究所 | Dual-path static baseband channel simulating device and method |
| CN107370551A (en) * | 2017-08-07 | 2017-11-21 | 合肥工业大学 | A kind of time domain auto-correlation flat fading channel modeling method |
| CN108011679A (en) * | 2017-12-07 | 2018-05-08 | 北京润科通用技术有限公司 | A kind of simulation configurations method and system of channel simulation |
| CN109039508A (en) * | 2018-09-30 | 2018-12-18 | 上海科梁信息工程股份有限公司 | Wireless multipath fading channel simulator system and method |
| CN109687925A (en) * | 2019-02-01 | 2019-04-26 | 中电科仪器仪表有限公司 | A kind of multichannel baseband channel simulator and method |
| CN109788112A (en) * | 2019-02-25 | 2019-05-21 | 深圳市摩尔环宇通信技术有限公司 | 5G terminal noise immunity test method and system and equipment |
-
2019
- 2019-12-23 CN CN201911335726.XA patent/CN111082883B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1805312A (en) * | 2005-12-23 | 2006-07-19 | 西安交通大学 | Radio environment emulation method in cellular radio communication system |
| CN101425854A (en) * | 2007-10-29 | 2009-05-06 | 大唐移动通信设备有限公司 | Link calibration method and device |
| KR101110025B1 (en) * | 2010-12-06 | 2012-02-29 | 한국과학기술원 | Method for processing signal in fmcw radar |
| CN105049142A (en) * | 2015-07-16 | 2015-11-11 | 中国电子科技集团公司第四十一研究所 | Dual-path static baseband channel simulating device and method |
| CN107370551A (en) * | 2017-08-07 | 2017-11-21 | 合肥工业大学 | A kind of time domain auto-correlation flat fading channel modeling method |
| CN108011679A (en) * | 2017-12-07 | 2018-05-08 | 北京润科通用技术有限公司 | A kind of simulation configurations method and system of channel simulation |
| CN109039508A (en) * | 2018-09-30 | 2018-12-18 | 上海科梁信息工程股份有限公司 | Wireless multipath fading channel simulator system and method |
| CN109687925A (en) * | 2019-02-01 | 2019-04-26 | 中电科仪器仪表有限公司 | A kind of multichannel baseband channel simulator and method |
| CN109788112A (en) * | 2019-02-25 | 2019-05-21 | 深圳市摩尔环宇通信技术有限公司 | 5G terminal noise immunity test method and system and equipment |
Non-Patent Citations (2)
| Title |
|---|
| 无线信道的研究;王正强;《湖南农机》;20080915(第09期);全文 * |
| 矿井超宽带复合衰落信道建模及仿真;王艳芬等;《电波科学学报》;20100815(第04期);全文 * |
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Address after: Block C, No. 7, Lane 205, Gaoji Road, Songjiang District, Shanghai, 201601 Patentee after: Chuangyuan Xinke (Shanghai) Technology Co.,Ltd. Address before: 201601 building 6, 351 sizhuan Road, Sijing Town, Songjiang District, Shanghai Patentee before: TRANSCOM INSTRUMENTS Co.,Ltd. |