CN112804703A - Packet detection method and communication device - Google Patents
Packet detection method and communication device Download PDFInfo
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- CN112804703A CN112804703A CN201911106208.0A CN201911106208A CN112804703A CN 112804703 A CN112804703 A CN 112804703A CN 201911106208 A CN201911106208 A CN 201911106208A CN 112804703 A CN112804703 A CN 112804703A
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- 238000004891 communication Methods 0.000 title claims abstract description 52
- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000005314 correlation function Methods 0.000 claims abstract description 42
- 238000004364 calculation method Methods 0.000 claims description 19
- 230000003111 delayed effect Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000007689 inspection Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 9
- 238000012549 training Methods 0.000 description 9
- 238000007796 conventional method Methods 0.000 description 2
- 230000002596 correlated effect Effects 0.000 description 2
- 230000001934 delay Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
Abstract
A packet detection method and a communication device are provided, the packet detection method comprises the following steps: receiving a wireless communication signal; calculating a delay correlation function of the wireless communication signal; calculating a delay correlation output value and a threshold value according to the delay correlation function; and determining whether the wireless communication signal satisfies a characteristic of a wireless network packet according to the delay related output value and the threshold.
Description
Technical Field
The present disclosure relates to a packet detection method and a communication device, and more particularly, to a packet detection method and a communication device with delay correlation.
Background
Packet detection, which is common in communication systems at present, is performed by using the periodic characteristic of short training sequence (short training sequence). When the characteristics of the received signal, such as power, the output value of the matched filter, and delay correlation, satisfy certain conditions, the receiving end determines that there is a packet in the air for transmission and reception.
If the packet detection misjudges the interference or noise in the air as a packet, the real packet may be missed before the receiving end determines a false alarm (false alarm) so as to reduce the system performance. In the case of low signal-to-noise ratio (SNR), the delay correlation is most susceptible to noise interference and affects the accuracy of packet detection. To reduce the occurrence probability of false alarm, the improvement of delay correlation is a key issue.
Disclosure of Invention
An embodiment of the present disclosure provides a packet detection method. The packet detection method comprises the following steps: receiving a wireless communication signal; calculating a delay correlation function of the wireless communication signal; calculating a delay correlation output value and a threshold value according to the delay correlation function; and determining whether the wireless communication signal satisfies a characteristic of a wireless network packet according to the delay related output value and the threshold.
Another embodiment of the present disclosure is to provide a communication device. The communication device comprises a transceiver circuit and a processor. The transceiver circuit is used for receiving wireless communication signals. The processor is configured to calculate a delay correlation function of the wireless communication signal, calculate a delay correlation output value and a threshold according to the delay correlation function, and determine whether the wireless communication signal satisfies a characteristic of a wireless network packet according to the delay correlation output value and the threshold.
Therefore, according to the technical implementation manner of the present disclosure, embodiments of the present disclosure achieve the effect of combining detection by considering both amplitude and phase information. Because the output and the threshold are both from the same delay correlation, compared with the conventional method, the method is less affected by the strength of the input signal, the interference level, the noise and the like, and thus the method is more suitable for different noise environment conditions.
Drawings
These and other objects, features, advantages and embodiments of the present invention will become more apparent from the following detailed description of the preferred embodiments of the invention when taken in conjunction with the accompanying drawings in which:
fig. 1 is a schematic diagram of a communication device shown in accordance with some embodiments of the present disclosure;
FIG. 2 is a flow chart illustrating a packet detection method according to some embodiments of the present disclosure;
FIG. 3 is a schematic diagram illustrating constellation points of a delay correlation function for white Gaussian noise in accordance with some embodiments of the present disclosure;
fig. 4 is a schematic diagram illustrating constellation points of a delay correlation function of a short training sequence packet of a wireless network according to some embodiments of the present disclosure; and
fig. 5 is a schematic diagram of a processor, shown in accordance with some embodiments of the present disclosure.
Description of the symbols
100 … communication device
110 … transceiver circuit
130 … processor
200 … packet inspection method
Steps S210 to S270 …
300 … constellation points
400 … constellation points
132 … first circuit
134 … second circuit
136 … comparison circuit
132A … average calculation circuit
132C … square calculation circuit
132D … multiplying power calculating circuit
134A … square calculation circuit
134B … average calculation circuit
134D … multiplying power calculating circuit
OV1, OV2 and OV3 … output circuit
Detailed Description
The following disclosure provides many different embodiments or illustrations for implementing different features of the invention. Elements and configurations in the specific illustrations are used in the following discussion to simplify the present disclosure. Any examples discussed are intended for illustrative purposes only and do not limit the scope or meaning of the invention or its illustrations in any way.
Fig. 1 is a schematic diagram of a communication device 100 shown in accordance with some embodiments of the present disclosure. The communication device 100 includes a transceiver circuit 110 and a processor 130. Transceiver circuitry 110 is coupled to the processor.
Please refer to fig. 2. For a better understanding of the present disclosure, the detailed operation of the communication device 100 will be described in conjunction with the embodiment shown in fig. 2. Fig. 2 is a flow chart illustrating a packet detection method 200 according to some embodiments of the present disclosure. It is noted that the packet detection method 200 can be applied to the communication device 100 having the same or similar structure as that shown in fig. 1. For simplicity of description, the packet detection method 200 will be described below by taking the embodiment in fig. 1 as an example according to some embodiments of the disclosure, but the disclosure is not limited to the application of the embodiment in fig. 1.
Fig. 2 is a flow chart illustrating a packet detection method 200 according to some embodiments of the present disclosure.
Step S210: a wireless communication signal is received. In some embodiments, step S210 is performed by the transceiver circuit 110.
Step S230: a delay correlation function of a wireless communication signal is calculated. In some embodiments, step S210 is performed by the processor 130. In some embodiments, the delay correlation function c (t) is as follows:
in the delay correlation function C (t) as described above, aiWeight value (weighting) r of the ith antennai,nThen the received wireless communication signal (received signal) is the ith antenna and the nth time point, τ is the period of one STF short training sequence (short training field), NrxThe total number of antennas of the transceiver circuit 110. It is noted that ri,nWireless communication signals are represented in multiple forms including real and imaginary components, including magnitude (amplitude) and phase information, as is well known in the art and not described in detail herein. Furthermore, r*Is the complex conjugate of r. From the above equation, those skilled in the art can understand that the function c (t) is a complex function, which includes magnitude and phase information.
For convenience of illustration and description, the following will be referred to as Nrx＝1，a0As an example, the delay correlation function c (t) can be rewritten as:
it is noted that this disclosure is not limited to Nrx＝1，a0The case of 1 is a limitation, and c (t) will be represented by Ct hereinafter.
Please refer to fig. 3. Fig. 3 is a schematic diagram of constellation points (constellation signals) 300 of a delay correlation function of gaussian white noise according to some embodiments of the present disclosure. As shown in fig. 3, the distribution of constellation points of the noise to the delay correlation function is randomly distributed (random distribution) in the whole circle. That is, for noise, the phase of its delay correlation function is randomly distributed from 0 to 2 π.
Please refer to fig. 4. Fig. 4 is a schematic diagram illustrating constellation points (constellation signals) 400 of a delay correlation function of a short training sequence packet of a wireless network according to some embodiments of the disclosure. As shown in fig. 4, the constellation point distribution of the short training sequence encapsulated in the delay correlation function of the wireless network is concentrated around a specific angle (angle), which is highly correlated with Carrier Frequency Offset (CFO). That is, for the short midamble packet of the wireless network, the phase distribution of the delay correlation function is concentrated around a specific angle.
The following method for determining noise or wireless network packets can be obtained according to the distribution diagrams of fig. 3 and 4 and the probability statistics concept. Received wireless communication signal ri,nIf the noise is pure noise, then according to the delay correlation function CtThe calculated mean value (mean) E [ C ]t]The square of the size will be less than its variance value (variance) Var [ C ]t]. In this case, | E [ C ]t]|2<Var[Ct]. On the other hand, ri,nIf the packet is a pure wireless network short training sequence packet, calculating an average value E [ C ] according to a delay correlation function C (t)t]The square of the magnitude will be greater than its variance value Var [ C ]t]. In this case, | E [ C ]t]|2＞Var[Ct]. Thus, if the received wireless communication signal satisfies | E [ Ct]|2＞Var[Ct]This feature indicates that a short midamble packet may be received, i.e., a wireless network packet may be received. It should be noted that the present embodiment uses short training sequencesFor example, but the invention is not limited thereto, and the method of the invention can be applied as long as there is a periodic sequence in the wireless network packet.
Variance value Var [ C ]t]Is expressed as follows, where L is a time length parameter:
average value E [ C ]t]Is expressed as follows, where L is a time length parameter:
as described above, the formula | E [ C ] can be determinedt]|2<Var[Ct]Or | E [ Ct]|2＞Var[Ct]The received wireless communication signal is judged to be noise or wireless network packet. As can be seen from the above-mentioned decision equation, the present embodiment directly uses the delay correlation function C when calculating the average value or the variance valuetOperating so as to take into account the delay correlation function CtThe phase of (c). On the contrary, the prior art is a delay correlation function CtSize | C oftI, the received signal is judged, and a delay correlation function C is not consideredtThe phase of (2) is easy to misjudge the noise as a wireless network packet.
In some embodiments, the above-mentioned decision formula further includes a parameter α, for example,
in this equation, the square value | E [ C ] of the mean valuet]|2Greater than parameter alpha and variation value Var [ C ]t]Product of (a) and (b) is a.Var [ C ]t]If it is determined that the wireless network packet is likely to be detected, otherwise, the received signal is considered to be possibly noise or other unwanted (undesired) signal. In the case of determining that the wireless network packet is likely to be detected, other existing determination methods (e.g., matching filter) may be usedfilter) output value), the situation of misjudgment of the existing judgment mode can be greatly reduced. In some embodiments, when the received wireless communication signal is determined to be a wireless network packet, it is directly determined to be a wireless network packet.
The decision equation as described above can be further calculated as follows:
in the above-mentioned formula, the expression,
to delay the correlation output value
Is a threshold value. In the above equation, the delay correlation function C is derived from the same signal for both the left and right sides (delay correlation output and threshold values)tTherefore, the setting of the value of the parameter α is not affected by the input signal strength, the interference level, the noise, and the like.
Please refer back to fig. 2. Step S250: and calculating a delay correlation output value and a threshold value according to the delay correlation function. In some embodiments, FIG. 2 is executed by processor 130.
In detail, in some embodiments, the processor 130 calculates a plurality of delay samples C in a time period according to the delay correlation function C (t)tAverage value of (a). For example, assuming that the time length parameter L is 2, the processor 130 obtains the delay sample value C according to the delay correlation function C (t)0、C1And calculating the delayed sample value C0、C1Average value of (a). Next, the processor 130 calculates the delayed sample value CtTo obtain a delay correlation output value
On the other hand, in some embodiments, the processor 130 calculates a plurality of delay samples C according to the delay correlation function C (t)tTo obtain a plurality of power samples
Sampling a plurality of power samples
Taking an average, then taking power samples
Average value of and threshold parameter
Multiplying to obtain a threshold value
In some embodiments, the threshold parameter
Is between 0 and 1. When threshold parameter
When the value of (A) is 1, the threshold value is
In this case, the processor 130 calculates a plurality of power samples according to the delay correlation function C (t)
The average value of (d) is the threshold value.
For example, assume a threshold parameter
Has a value of 1, a time length parameter L of 2, and the processor 130 depends onObtaining a plurality of delayed samples C (t) according to a delayed correlation function C (t)tTo obtain a plurality of power samples
Calculating a plurality of power samples
To obtain a threshold value
Step S270: and judging whether the wireless communication signal meets the characteristics of the wireless network packet or not according to the delay correlation output value and the threshold value. In some embodiments, step S270 is executed by the processor 130. In some embodiments, in step S270, the wireless communication signal is determined to be a wireless network packet or noise according to the delay related output value and the threshold. In some embodiments, the correlation output value is delayed
Greater than a threshold value
At this time, it is determined that the wireless communication signal may be a wireless network packet. On the other hand, when delaying the correlation output value
Is not greater than the threshold
It is determined that the wireless communication signal may be noise.
Please refer to fig. 5. Fig. 5 is a schematic diagram of a processor 130 shown in accordance with some embodiments of the present disclosure. The processor 130 includes a first circuit 132, a second circuit 134, and a comparison circuit 136. In connection, the first circuit 132 and the second circuit 134 are respectively coupled to the comparison circuit 136. It should be noted that the processor 130 shown in fig. 5 is only used for illustration, and the disclosure is not limited thereto.
The first circuit 132 includes an average calculation circuit 132A, a square calculation circuit 132C, a magnification calculation circuit 132D, and an output circuit OV 1. The average calculating circuit 132A is used to calculate at least one delayed sample value CtThe average calculating circuit 132A outputs the calculated average to the square calculating circuit 132C, the square calculating circuit 132C calculates the square of the average, the output circuit OV1 transmits the value calculated by the square calculating circuit 132C to the multiplying factor calculating circuit 132D, the multiplying factor calculating circuit 132D delays the sampled value CtIs multiplied by a multiplier value. In some embodiments, the multiplying power calculating circuit 132D delays the sampled value CtIs multiplied by a value of 1 times the square of the mean value to obtain a delay-related output value
Then, the first circuit 132 will delay the correlated output value
To the comparison circuit 136.
The second circuit includes a square calculation circuit 134A, an average calculation circuit 134B, a magnification calculation circuit 134D, an output circuit OV2, and an output circuit OV 3. The square calculation circuit 134A is used to delay the sampling value CtSquaring to obtain power samples
The output circuit OV2 is used to transfer the value calculated by the square calculation circuit 134A to the average calculation circuit 134B, and the average calculation circuit 134B is used to calculate the power sample value
And the output circuit OV3 is used to transfer the value calculated by the average calculation circuit 134B to the multiplying factor calculation circuit 134D, and the multiplying factor calculation circuit 134D is used to multiply the value transferred by the output circuit OV3 by the threshold parameter. In some embodiments, the multiplying power calculating circuit 134D samples the power
Has an average value and a value of
Is multiplied by the threshold parameter to obtain the threshold value
Then, the first circuit 132 will threshold
To the comparison circuit 136.
The comparison circuit 136 is used to compare the delay-related output values
Whether or not it is greater than a threshold value
And then, outputting the comparison result to judge whether the wireless communication signal meets the characteristics of the wireless network packet.
The Wireless Network packet may be a Wireless Local Area Network (WLAN) packet, an Orthogonal Frequency Division Multiplexing (OFDMA) packet, or the like. However, the embodiments of the present disclosure are not limited to the above, and the packets transmitted through the wireless network are within the scope of the present disclosure.
In some embodiments, the processor 130 may be a server, a circuit, a Central Processing Unit (CPU), a Microprocessor (MCU) or other equivalent circuits with functions of storing, calculating, reading data, receiving signals or information, transmitting signals or information, and the like. In some embodiments, transceiver circuitry 110 may be circuitry that receives signals or information, transmits signals or information, or otherwise performs a comparable function.
In view of the above, embodiments of the present disclosure provide a packet detection method and a communication device, which achieve the effect of combining detection by considering both the magnitude (amplitude) and phase information. Since the delay correlation output and the threshold are both from the same source of delay correlation, they are less affected by the strength of the input signal, the interference level, the noise, etc. compared with the conventional method, so they are more suitable for different noise environment conditions. The embodiment of the disclosure improves the packet detection accuracy when the delay correlation is interfered by noise.
Additionally, the above illustration contains exemplary steps in sequential order, but the steps need not be performed in the order shown. It is within the contemplation of the disclosure that the steps may be performed in a different order. Steps may be added, substituted, changed in order, and/or omitted as appropriate within the spirit and scope of embodiments of the disclosure.
Although the present disclosure has been described with reference to the above embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the disclosure, and therefore, the scope of the disclosure should be determined by that of the appended claims.
Claims (10)
1. A packet detection method includes:
receiving a wireless communication signal;
calculating a delay correlation function of the wireless communication signal;
calculating a delay correlation output value and a threshold value according to the delay correlation function; and
determining whether the wireless communication signal satisfies a characteristic of a wireless network packet according to the delay related output value and the threshold.
2. The packet detection method of claim 1 wherein calculating the delay correlation output value and the threshold value according to the delay correlation function further comprises:
calculating the delay-related output value and the threshold according to a time length parameter.
3. The packet inspection method of claim 1, wherein calculating the delay-related output value comprises:
calculating an average of a plurality of delayed samples according to the delayed correlation function; and
calculating a square of the average to obtain the delay related output value.
4. The packet detection method of claim 1, wherein calculating the threshold comprises:
calculating a plurality of delay sample values according to the delay correlation function;
calculating a plurality of squared values of the delayed samples to obtain a plurality of power samples;
calculating an average of the power samples; and
the average value is multiplied by a threshold parameter to obtain the threshold.
5. The packet inspection method according to claim 1, further comprising:
when the delay correlation output value is larger than the threshold value, judging the wireless communication signal as the wireless network packet; and
when the delay correlation output value is not greater than the threshold value, the wireless communication signal is determined to be noise.
6. A communication device, comprising:
a transceiver circuit for receiving a wireless communication signal; and
a processor for calculating a delay correlation function of the wireless communication signal, calculating a delay correlation output value and a threshold according to the delay correlation function, and determining whether the wireless communication signal satisfies a characteristic of a wireless network packet according to the delay correlation output value and the threshold.
7. The communications device as claimed in claim 6, wherein the processor is further configured to calculate an average of a plurality of delay samples according to the delay correlation function, and calculate a square of the average to obtain the delay correlation output value.
8. The communications device of claim 6 wherein the processor is further configured to compute a plurality of delay samples according to the delay correlation function, compute a plurality of squares of the delay samples to obtain a plurality of power samples, and compute an average of the power samples, wherein the processor is further configured to multiply the average by a threshold parameter to obtain the threshold.
9. The communications apparatus as claimed in claim 6, wherein the processor is further configured to determine the wireless communication signal as the wireless network packet when the delay related output value is greater than the threshold value, and the processor is further configured to determine the wireless communication signal as a noise when the delay related output value is not greater than the threshold value.
10. The communication device of claim 6, wherein the processor comprises:
a comparator circuit for comparing the delay-related output value with the threshold value;
a first circuit, comprising:
an average calculating circuit for calculating a first average of at least one delay sample value according to the delay correlation function;
a square calculation circuit for calculating a first square value of the first average value; and
a multiplying factor calculating circuit, for multiplying the first square value and a multiplying factor value to obtain the delay correlation output value; and
a second circuit, comprising:
a square calculation circuit for calculating at least one delay sample value according to the delay correlation function and calculating at least one second square value of the at least one delay sample value;
an average calculating circuit for calculating a second average value of the at least one second square value; and
a multiplying factor calculating circuit, which is used to multiply the second average value with a threshold parameter to obtain the threshold.
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| CN101330347A (en) * | 2007-06-19 | 2008-12-24 | 安国国际科技股份有限公司 | Encapsulation detection circuit and method thereof |
| US20100040044A1 (en) * | 2008-08-12 | 2010-02-18 | Seiichi Izumi | Synchronization Circuit, Synchronization Method, Wireless Communication Apparatus, Wireless Communication Method, and Computer Program |
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- 2019-11-13 CN CN201911106208.0A patent/CN112804703A/en active Pending
Patent Citations (5)
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|---|---|---|---|---|
| US20040137863A1 (en) * | 2002-10-25 | 2004-07-15 | Walton J. Rodney | Data detection and demodulation for wireless communication systems |
| US20070047630A1 (en) * | 2005-08-24 | 2007-03-01 | Oki Electric Industry Co., Ltd. | Synchronous control apparatus for initial synchronization when receiving a wireless signal |
| US20080165903A1 (en) * | 2007-01-10 | 2008-07-10 | Nokia Corporation | Apparatus, method and computer program product for detecting non-synchronized random access channel preamble |
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