CN114338326A - Wireless communication processing method and device - Google Patents
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Abstract
The invention provides a wireless communication processing method and device, which is applied to a signal sending end and effectively solves the problem that the existing wireless communication waveform only adopts conventional processing modes such as modulation and demodulation, coding and decoding, forward error correction coding and decoding and the like, improves the reliability of signals in channel transmission and well resists the influence of burst errors on the signal transmission by inserting a convolution coding and interleaving processing mode into a sending signal, simultaneously inserts a processing mode of channel estimation and channel equalization when receiving the signal processing, improves the subsequent signal transmission quality, ensures the transmission stability, estimates and equalizes the channel frequency response according to the correlation of the receiving signal and the sending signal to achieve the purpose of improving the receiving and sending quality of the wireless signal, dynamically adjusts the modulation and demodulation mode according to the RSSI value, can adopt a modulation processing mode with corresponding efficiency according to different channel frequency responses, the present signal is dynamically processed, and the signal processing quality of the present invention is effectively improved.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a wireless communication processing method and apparatus.
Background
Wireless communication (english: Wireless communication) refers to long-distance transmission communication between a plurality of nodes without propagation via conductors or cables, and Wireless communication can be performed by radio, and the like. Wireless communication includes a variety of stationary, mobile, and portable applications such as two-way radios, cell phones, personal digital assistants, and wireless networks. Other examples of wireless radio communication are GPS, garage door remote control, wireless mouse, etc. Most wireless communication technologies will use radio, including WIFI only several meters away, and also including deep space networks communicating with the seafarer number 1 and having a distance exceeding several million kilometers. However, some wireless communication technologies do not use radio, but use other electromagnetic wave wireless technologies, such as light, magnetic field, electric field, etc.
At present, the conventional processing modes such as modulation and demodulation, coding and decoding, forward error correction coding and decoding and the like are only adopted in the existing wireless communication waveform, so that the problems of signal stability and wireless signal receiving and transmitting quality cannot be ensured when the current wireless signals are received and transmitted, and meanwhile, under the condition that a communication channel is changed, the modulation and demodulation mode cannot be adjusted in a self-adaptive mode, the error rate of received data is greatly increased, and the signal receiving and transmitting quality is reduced.
Disclosure of Invention
Accordingly, an object of the present invention is to provide a wireless communication processing method and apparatus, which fundamentally solve the problems that the quality of transmitting and receiving wireless signals is low and the modulation and demodulation pattern cannot be adaptively adjusted.
The method is applied to a signal transmitting end and comprises the following steps:
a sending end generates random binary data as an information source, and performs signal modulation on the information source to determine the information source as a modulation signal;
performing inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence through the sending end to obtain a target signal subjected to inverse fast Fourier transform modulation, and sending the target signal subjected to inverse fast Fourier transform modulation to a receiving end through a channel;
and after the receiving end receives the target signal, estimating and equalizing the channel according to the target signal and a preset pilot frequency sequence, and analyzing the received target signal to obtain an information sink corresponding to the information source.
Further, the step before signal modulation of the source further comprises:
and carrying out convolutional coding and interleaving processing on the information source when the information source is transmitted.
Further, the step after signal modulation of the source comprises:
and carrying out FFT demodulation processing on the received target signal.
Further, the step of estimating and equalizing the channel according to the target signal and the preset pilot sequence specifically includes:
and multiplying the target signal by the preset pilot frequency sequence to obtain a channel estimation parameter.
Further, the step of calculating the preset pilot sequence and the channel estimation parameter to achieve channel equalization specifically includes:
and calculating the reciprocal of the channel estimation parameter to obtain a second target signal, and multiplying the preset pilot frequency sequence by the second target signal to achieve channel equalization.
Further, the step of adaptively adjusting the modulation efficiency according to the wireless signal strength between the transmitting end and the receiving end includes:
when the channel frequency response between the sending end and the receiving end is low, a low-efficiency modulation mode is adopted for modulation processing;
and when the channel frequency response between the sending end and the receiving end is high, modulating by adopting a high-efficiency modulation mode.
A wireless communication processing device according to an embodiment of the present invention is applied to a wireless communication transmitting end and a receiving end, and the device includes:
the signal modulation module is used for carrying out inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence to obtain a target signal after inverse fast Fourier transform modulation;
the signal sending module is used for sending the target signal after the inverse fast Fourier transform modulation to a receiving end through a channel;
the receiving end includes:
the signal receiving module is used for receiving the target signal after the fast Fourier inverse transformation modulation;
and the channel modulation module is used for estimating and equalizing a channel according to a target signal and a preset pilot frequency sequence, and analyzing the received target signal to obtain an information sink corresponding to the information source.
Compared with the prior art: the invention provides a wireless communication processing method which effectively solves the problem that the existing wireless communication waveform only adopts the conventional processing modes of modulation and demodulation, coding and decoding, forward error correction coding and decoding and the like.
Drawings
Fig. 1 is a flowchart of a wireless communication processing method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a wireless communication processing method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a wireless communication processing apparatus according to a third embodiment of the present invention;
fig. 4 is a flow chart of channel estimation processing in a second embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, a wireless communication processing method according to a first embodiment of the present invention is shown, wherein a signal transmitting end is applied, and the method specifically includes steps S01-S03.
In step S01, the transmitting end generates random binary data as a source, and performs signal modulation on the source to determine the source as a modulated signal.
In specific implementation, the sending end of the wake-up signal generates a sending signal and finds out random binary data which is in accordance with the current signal and is used as a sending information source, preset signal modulation processing is carried out on the current sending information source, and the current processing signal data is determined to be a modulation signal.
And step S02, performing inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence through the sending end to obtain a target signal after inverse fast Fourier transform modulation, and sending the target signal after inverse fast Fourier transform modulation to the receiving end through a channel.
Wherein, the preset pilot sequence adopts training data as a PN sequence, when the specific implementation is performed, the modulation signal obtained in step S01 and the PN sequence are subjected to IFFT (inverse fast fourier transform) modulation processing, the signal is subjected to IFFT processing to convert a serial data stream into a plurality of parallel subcarrier data streams (64 subcarriers in total in the signal, 52 subcarriers are used for carrying modulation data, four subcarriers are used as pilot carriers, and eight subcarriers are used as guard bands) to obtain a modulated target signal, then a Cyclic Prefix (CP) is inserted into the target signal and parallel-serial conversion is performed, and then the signal is transmitted to a receiving end through a channel to be subjected to subsequent signal processing (Cyclic Prefix (CP) is formed by copying a signal at the tail of an OFDM symbol to the head, when the spectrum bandwidth of the OFDM for transmitting the signal is very wide, it is difficult to make the bandwidth of the subcarrier signal smaller than the coherence bandwidth of the channel unless the subcarriers are very large, therefore, the residual intersymbol interference is too large, the orthogonality of the subcarrier sun is damaged, demodulation errors are caused, and the error rate is increased. To eliminate inter-symbol interference (ISI) as much as possible, a guard interval is added before the information symbols and the guard interval time width is made larger than the delay spread estimated in the channel. If the left side of the guard interval is empty, orthogonality between sub-carriers is no longer present, resulting in inter-carrier interference (ICI). To eliminate ISI and ICI, the OFDM symbol cyclic extension forms a guard interval, where orthogonality between subcarriers is protected as long as the delay spread of the symbol always has an integer multiple of samples in the interval, and forms a guard interval, where orthogonality between subcarriers is protected as long as the delay spread of the symbol always has an integer multiple of samples in the interval).
Step S03, after the receiving end receives the target signal, the receiving end estimates and balances the channel according to the target signal and the preset pilot frequency sequence, and analyzes the received target signal to obtain the information destination corresponding to the information source.
In specific implementation, the receiving end is awakened, the target signal in step S02 is received, channel estimation is performed on the channel frequency response according to the correlation between the received signal and the transmitted signal, then the channel estimation data is multiplied by the target signal to achieve the purpose of channel equalization, then FFT (fast fourier transform) demodulation processing is performed on the equalized signal, and then parallel-to-serial conversion, deinterleaving and VB decoding processing are performed on the FFT-demodulated signal twice to obtain the signal sink corresponding to the signal source.
To sum up, the wireless communication processing method in the above embodiment well solves the problem that the existing wireless communication waveform only adopts the conventional processing modes such as modulation and demodulation, coding and decoding, forward error correction coding and decoding, and the like, and the mode is well universal and binary signal processing, thereby improving the application range of the invention, the reliability of signals in channel transmission and the influence on burst error resistance on signal transmission, simultaneously inserting the processing modes of channel estimation and channel equalization in the process of receiving signals, estimating and equalizing the channel frequency response according to the correlation of the received and transmitted signals, improving the stability of the signals in receiving and transmitting, and simultaneously achieving the purpose of improving the quality of signal receiving and transmitting.
Example two
Referring to fig. 2, a wireless communication processing method according to a second embodiment of the present invention is applied to a signal transmitting end, and the method specifically includes steps S11-S18.
In step S11, the transmitting end generates random binary data as a source, and performs signal modulation on the source to determine the source as a modulated signal.
Step S12, performing convolutional coding and interleaving processing on the source when the source is transmitted.
In specific implementation, the step is used to perform convolutional coding and interleaving on the signal sources respectively after the transmitting end generates random binary data as the signal sources in step S11, where the convolutional coding is to reduce the bit error rate of the system and improve the reliability of the signal in channel transmission, and the interleaving is to disturb the original signal transmission sequence according to a certain rule, and when the disturbed signal passes through a channel with bursty errors, a series of signal errors are generated and reacted randomly in the original data, so that the influence of the bursty errors on the signal transmission can be well resisted.
And step S13, performing inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence through the sending end to obtain a target signal after inverse fast Fourier transform modulation, and sending the target signal after inverse fast Fourier transform modulation to the receiving end through a channel.
Step S14, performing FFT demodulation processing on the received target signal.
In specific implementation, before performing FFT demodulation processing on a received target signal, it is necessary to perform serial-to-parallel conversion on the current target signal, remove a cyclic prefix doped by a sending end during signal processing, and then perform current FFT demodulation processing, which is also fast fourier transform demodulation processing, where FFT converts a plurality of parallel subcarrier data streams into a serial data stream, so as to facilitate subsequent data arrangement.
And step S15, multiplying the target signal by the preset pilot frequency sequence to obtain a channel estimation parameter.
In specific implementation, the obtained target signal is multiplied by a PN sequence generated by a PN sequence generator to directly obtain a current channel estimation parameter, and a relatively simple least square method, namely an LS algorithm, is adopted in the step, so that the signal frame loss caused by the influence of factors such as environment and the like in the signal receiving and transmitting process can be effectively reduced, and the signal transmission stability is improved (as shown in fig. 4 in the specification).
Step S16, reciprocal of the channel estimation parameter is obtained to obtain a second target signal, and the preset pilot sequence is multiplied by the second target signal to achieve channel equalization.
Further, in combination with the first comparison table of step S15, in1 is the received signal input port, in2 is the PN sequence separated by the carrier demodulation module, the first multiplication module realizes the comparison of the received PN sequence with the original sequence, and the second multiplication module realizes the multiplication of the signal with the channel response parameter, wherein it is noted that the training sequence generated by the PN sequence generator here is consistent with the previously inserted training sequence, that is, it is to be ensured that the frequency generator polynomial parameters are consistent, and only if they are the same, estimation and calculation processing can be performed through the difference between the previous and next sequences, thereby ensuring the reliability of subsequent signal transceiving.
In specific implementation, the channel estimation parameters are extracted and the reciprocal is calculated to obtain a second target signal, and the second target signal is multiplied by the PN sequence to achieve channel equalization, improve the stability of the signal during receiving and transmitting and achieve the purpose of improving the quality of signal receiving and transmitting.
Step S17, when the channel frequency response between the sending end and the receiving end is low, the modulation process is carried out by adopting the low-efficiency modulation mode;
and step S18, when the channel frequency response between the sending end and the receiving end is high, performing modulation processing by using a high-efficiency modulation method.
In specific implementation, the modulation and demodulation mode is dynamically adjusted by using the RSSI (which is a measure for evaluating the strength of a wireless signal between an RC remote controller and a receiver), current signals can be dynamically processed by adopting modulation modes with different efficiencies according to different channel frequency responses, the quality of signal transceiving processing is further improved, when the channel frequency response between a sending end and a receiving end is low, the modulation mode with low efficiency is adopted for modulation processing, otherwise, when the channel frequency response is high, the modulation mode with high efficiency is adopted for modulation processing, the stable signal processing of the signals during channel transmission can be ensured in real time, and the phenomenon that the signals are easy to generate instability or frame loss due to the fact that the conventional modulation mode is adopted for signal processing when the channel quality is poor is avoided.
In summary, the difference between the wireless communication processing method in the above embodiment and the first embodiment is that a convolutional coding and interleaving processing mode for the information source is inserted at the sending end, so as to effectively improve the reliability of the signal in channel transmission and well resist the influence of burst errors on the signal transmission, and then the modulation and demodulation mode is dynamically adjusted according to the RSSI value, so that the current signal can be dynamically processed by adopting a modulation processing mode with efficiency corresponding to the RSSI value according to different channel frequency responses, and the signal processing quality of the present invention is effectively improved.
EXAMPLE III
Another aspect of the present invention further provides a wireless communication processing apparatus, please refer to fig. 3, which shows a wireless communication processing apparatus according to a third embodiment of the present invention, applied to a wireless communication transmitting end and a receiving end, where the transmitting end includes:
the signal modulation module 11 is configured to perform inverse fast fourier transform modulation on the modulation signal and a preset pilot sequence to obtain a target signal subjected to inverse fast fourier transform modulation;
the signal sending module 12 is configured to send the target signal after inverse fast fourier transform modulation to a receiving end through a channel;
the receiving end includes:
a signal receiving module 13, configured to receive the target signal after inverse fast fourier transform modulation;
and the channel modulation module 14 is configured to estimate and equalize a channel according to a target signal and a preset pilot sequence, and analyze the received target signal to obtain an information sink corresponding to the information source.
Further, in some optional embodiments of the present invention, the sending end and the receiving end further include:
the source processing module 15 is configured to perform convolutional coding and interleaving processing on the source when the source is transmitted;
further, in some alternative embodiments of the present invention, the method further includes:
a signal processing module 16 for inserting and removing a cyclic prefix into the transceiving signal;
and a second signal processing module 17, configured to perform serial-to-parallel conversion, i.e., parallel-to-serial conversion processing.
In summary, in the wireless communication processing apparatus in the above embodiments of the present invention, the sending end is awakened to generate random binary data as a source, the current source is modulated after convolutional coding and interleaving by the source processing module in the sending end, the modulated signal is modulated with the preset pilot sequence through inverse fast fourier transform to obtain a target signal after inverse fast fourier transform modulation, the target signal to be sent is obtained, the target signal after inverse fast fourier transform modulation is sent to the receiving end through a channel, the signal receiving module receives the target signal after inverse fast fourier transform modulation and performs inverse transform and removal of the cyclic prefix according to the sending signal of the sending end, the channel modulation module is awakened to estimate and equalize the channel according to the target signal and the preset pilot sequence, and analyzing the received target signal to obtain an information sink corresponding to the information source.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (7)
1. A wireless communication processing method, applied to a signal transmitting end, the method comprising:
a sending end generates random binary data as an information source, and performs signal modulation on the information source to determine the information source as a modulation signal;
performing inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence through the sending end to obtain a target signal subjected to inverse fast Fourier transform modulation, and sending the target signal subjected to inverse fast Fourier transform modulation to a receiving end through a channel;
and after the receiving end receives the target signal, estimating and equalizing the channel according to the target signal and a preset pilot frequency sequence, and analyzing the received target signal to obtain an information sink corresponding to the information source.
2. The wireless communication processing method of claim 1, wherein the step prior to signal modulating the source further comprises:
and carrying out convolutional coding and interleaving processing on the information source when the information source is transmitted.
3. The wireless communication processing method of claim 1, wherein the step after signal modulation of the source comprises:
and carrying out FFT demodulation processing on the received target signal.
4. The method as claimed in claim 1, wherein the step of estimating and equalizing the channel according to the target signal and the predetermined pilot sequence specifically comprises:
and multiplying the target signal by the preset pilot frequency sequence to obtain a channel estimation parameter.
5. The method as claimed in claim 4, wherein the step of calculating the preset pilot sequence and the channel estimation parameters to achieve channel equalization specifically comprises:
and calculating the reciprocal of the channel estimation parameter to obtain a second target signal, and multiplying the preset pilot frequency sequence by the second target signal to achieve channel equalization.
6. The method as claimed in claim 1, wherein the step of adaptively adjusting the modulation efficiency according to the wireless signal strength between the transmitting end and the receiving end comprises:
when the channel frequency response between the sending end and the receiving end is low, a low-efficiency modulation mode is adopted for modulation processing;
and when the channel frequency response between the sending end and the receiving end is high, modulating by adopting a high-efficiency modulation mode.
7. A wireless signal processing apparatus includes a transmitting end and a receiving end, the transmitting end including:
the signal modulation module is used for carrying out inverse fast Fourier transform modulation on the modulation signal and a preset pilot frequency sequence to obtain a target signal after inverse fast Fourier transform modulation;
the signal sending module is used for sending the target signal after the inverse fast Fourier transform modulation to a receiving end through a channel;
the receiving end includes:
the signal receiving module is used for receiving the target signal after the fast Fourier inverse transformation modulation;
and the channel modulation module is used for estimating and equalizing a channel according to a target signal and a preset pilot frequency sequence, and analyzing the received target signal to obtain an information sink corresponding to the information source.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101409699A (en) * | 2008-11-28 | 2009-04-15 | 清华大学 | Signal transmission method for wideband wireless mobile commutation system |
| US20090122886A1 (en) * | 2005-10-31 | 2009-05-14 | Nec Corporation | Transmitting/receiving system, transmitting apparatus, and pilot signal multiplexing method used in them |
| CN101969325A (en) * | 2003-11-21 | 2011-02-09 | 松下电器产业株式会社 | Multi-antenna transmission apparatus and method, multi-antenna reception apparatus and method |
| JP2013165351A (en) * | 2012-02-09 | 2013-08-22 | Hitachi Kokusai Electric Inc | Radio communication system and radio communication method |
| CN103873397A (en) * | 2014-03-28 | 2014-06-18 | 南京正保通信网络技术有限公司 | Novel estimation method for orthogonal frequency-division multiplexing receiving channel combining time domain and frequency domain |
| KR101468604B1 (en) * | 2013-07-24 | 2014-12-03 | 주식회사 인트로메딕 | System and method for human body communication applied pre-distortion or adaptive modulation/channel coding |
| CN113612708A (en) * | 2021-08-09 | 2021-11-05 | 电子科技大学 | Multi-user communication radar integrated system based on time division multiple access |
-
2021
- 2021-12-31 CN CN202111672640.3A patent/CN114338326B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969325A (en) * | 2003-11-21 | 2011-02-09 | 松下电器产业株式会社 | Multi-antenna transmission apparatus and method, multi-antenna reception apparatus and method |
| US20090122886A1 (en) * | 2005-10-31 | 2009-05-14 | Nec Corporation | Transmitting/receiving system, transmitting apparatus, and pilot signal multiplexing method used in them |
| CN101409699A (en) * | 2008-11-28 | 2009-04-15 | 清华大学 | Signal transmission method for wideband wireless mobile commutation system |
| JP2013165351A (en) * | 2012-02-09 | 2013-08-22 | Hitachi Kokusai Electric Inc | Radio communication system and radio communication method |
| KR101468604B1 (en) * | 2013-07-24 | 2014-12-03 | 주식회사 인트로메딕 | System and method for human body communication applied pre-distortion or adaptive modulation/channel coding |
| CN103873397A (en) * | 2014-03-28 | 2014-06-18 | 南京正保通信网络技术有限公司 | Novel estimation method for orthogonal frequency-division multiplexing receiving channel combining time domain and frequency domain |
| CN113612708A (en) * | 2021-08-09 | 2021-11-05 | 电子科技大学 | Multi-user communication radar integrated system based on time division multiple access |
Non-Patent Citations (3)
| Title |
|---|
| CATT: "R1-091985 "Considerations on CSI-RS design for LTE-Advanced"", 3GPP TSG_RAN\\WG1_RL1, no. 1, 28 April 2009 (2009-04-28) * |
| K. LI, C. JEON, J. R. CAVALLARO AND C. STUDER: "Decentralized equalization for massive MU-MIMO on FPGA", 2017 51ST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 16 April 2018 (2018-04-16), pages 256 * |
| 潘仲明编著: "《随机信号分析与最优估计理论》", 国防科技大学出版社, pages: 256 * |
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