CN1972165A - An interference detection method and apparatus - Google Patents
An interference detection method and apparatus Download PDFInfo
- Publication number
- CN1972165A CN1972165A CNA2006101694782A CN200610169478A CN1972165A CN 1972165 A CN1972165 A CN 1972165A CN A2006101694782 A CNA2006101694782 A CN A2006101694782A CN 200610169478 A CN200610169478 A CN 200610169478A CN 1972165 A CN1972165 A CN 1972165A
- Authority
- CN
- China
- Prior art keywords
- sequence
- interference
- short
- time power
- detected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims description 92
- 238000000034 method Methods 0.000 claims description 15
- 230000010354 integration Effects 0.000 claims description 9
- 230000002452 interceptive effect Effects 0.000 claims description 9
- 238000010606 normalization Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 3
- 238000003306 harvesting Methods 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 17
- 230000000737 periodic effect Effects 0.000 description 16
- 238000004891 communication Methods 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 241000764238 Isis Species 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000001427 coherent effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Images
Landscapes
- Monitoring And Testing Of Transmission In General (AREA)
Abstract
This invention discloses one interference test.
Description
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to an interference detection method and an apparatus for implementing interference detection in a wireless communication system.
Background
In the construction of wireless communication networks, due to the openness of wireless channels, there are various wireless communication devices in reality that inevitably introduce spatial interference in the wireless communication network.
It is well known that interference problems can have adverse consequences for the service. In the present network, a large amount of interference is periodic time division interference, and for example, interference such as Personal Handyphone System (PHS) and radar signals, which are common at present, belong to periodic interference. Of course, there may be other types of interference. These interferences can severely affect wireless communications. Therefore, the presence of interference and the characteristics of the interference need to be discovered in time for interference cancellation processing.
It can be seen that finding the presence of interference, and determining the type of interference, is an important issue.
The interference detection method that can be generally used at present is an amplitude detection method, which mainly confirms that interference exists after the received signal is determined to exceed a certain amplitude. However, the amplitude detection method is not fine, and only can roughly distinguish interference signals. Therefore, the detection method can only roughly distinguish periodic interference. Since the detection method can only roughly distinguish the periodic interference, even if the type of the periodic interference can be determined, the periodic interference and the type thereof cannot be accurately detected in detail.
In summary, no interference detection scheme capable of detecting periodic interference and its category accurately exists at present.
Disclosure of Invention
In view of the above, an embodiment of the present invention provides an interference detection method for determining the existence of periodic interference and determining the type of interference.
The invention further provides a device for realizing the interference detection.
In order to solve the above problems, the present invention provides the following technical solutions:
an interference detection method according to an embodiment of the present invention includes the steps of:
acquiring short-time power according to the received signal, and acquiring a received signal short-time power sequence consisting of the short-time power of the received signal;
determining a sequence to be detected according to the obtained short-time power sequence;
performing correlation detection on the sequence to be detected by using a preset interference correlation sequence to obtain a detection result sequence;
and comparing the value in the detection result sequence with a preset threshold range to determine whether the received signal has time division interference corresponding to the interference correlation sequence.
The device for realizing interference detection in the embodiment of the invention comprises:
a short-time power acquisition module and an interference detection module, wherein,
the short-time power acquisition module is used for acquiring short-time power according to the received signal, taking a sequence formed by the short-time power of the received signal as a short-time power sequence and sending the short-time power sequence to the interference detection module;
the interference detection module is configured to determine a sequence to be detected according to the received short-time power sequence, perform correlation detection on the sequence to be detected by using a preset interference correlation sequence, and determine whether the received signal has time division interference corresponding to the interference correlation sequence by comparing a value in an obtained detection result sequence with a preset threshold range.
The embodiment of the invention obtains the short-time power sequence of the received signal, determines the corresponding sequence to be detected, then utilizes the preset interference correlation sequence to carry out correlation detection on the sequence to be detected, and compares each value obtained by detection with the preset threshold range to determine whether the received signal has time division interference corresponding to the interference correlation sequence, thereby realizing the detection of the time division interference, namely, being capable of accurately detecting the periodic interference in detail, and obtaining the interference characteristic of the interference, thereby reducing the false triggering.
Drawings
FIG. 1 is a flow chart of an implementation of an embodiment of the method of the present invention;
FIG. 2 is a block diagram of an embodiment of an apparatus of the present invention;
FIG. 3 is a block diagram of another embodiment of the apparatus of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
The scheme provided by the embodiment of the invention is used for wireless communication networks such as WCDMA and CDMA. For convenience of description, the following description will mainly be made by taking a WCDMA network as an example.
Since the WCDMA system operates, the time domain structure of its received signal should be smooth and have white noise characteristics, i.e. the signal has fluctuation due to power control, but there is no periodic structure in time. Whereas if there is periodic interference, there will be a certain time structure.
For the WCDMA system, based on the power control characteristics of the WCDMA system, when interference exists, power control may require the UE to increase power, thereby increasing the power of the signal received by the base station. While in the absence of interference, power control may require the UE to reduce power, resulting in a reduction in received signal power. Wherein the received signal comprises a UE signal and an interference signal. Although power control can ensure the signal-to-noise ratio of the WCDMA system under certain interference, the periodicity of the interference is still reflected. It can be seen that, even for a system having a power control characteristic, the embodiments of the present invention can determine whether there is interference according to the characteristics of a received signal.
In addition, since not only the periodic interference signal may cause signal fluctuation, but also the propagation environment, traffic variation, etc. may cause signal fluctuation, in order to distinguish the periodic interference from signal fluctuation caused by other reasons, correlation detection needs to be performed on the received signal, if the pattern of a certain periodic interference is correlated and matched, it can be proved that there is interference of that type, and if the pattern cannot be matched, it is stated that the signal fluctuation may be caused by other reasons.
In view of the above analysis, the implementation scheme of the interference detection method provided by the embodiment of the present invention corresponds to the following steps:
In this step, the obtaining of the short-time power according to the received signal may specifically be: and carrying out short-time power integration on the received signal to obtain short-time power.
The duration of the short-time power obtained in this step may be greater than the interference period of the interference signal, or may be less than half of the interference period. For example, for a received signal with a large duty ratio, even if the duration of the short-time power is greater than the period of the interference signal, the interference signal can be found through the embodiments of the present invention.
Specifically, the duration of the acquired short-time power can be set to be less than half of the interference period. The duration of the acquired short-time power can be further set to be less than half of the minimum granularity of the interference signal. The latter configuration is made because the time granularity of the time domain interference is generally small, the time granularity is in the order of 100us, for example, the period of the PHS interference is 5ms, and the time slot period is 625us, so as to ensure that the interference of this level of granularity can be detected, therefore, the detection granularity for detection in the received signal, i.e. the sampling period, is required to be less than half the time length of the interference time slot, so as to ensure that the interference signal is not smoothed by the average value.
The short-time power integration performed in this step may be specifically integrating an I channel and a Q channel of a receiving channel every set number of chips (chips), where the set number of chips may be obtained by calculating a periodic characteristic of an interference signal, where the periodic characteristic of the interference signal is usually a transmission duration, a silence duration, and the like of interference.
In particular toIn other words, the power integration performed on the I channel and the Q channel includes: firstly, the power P of the I channel and the power P of the Q channel are respectively obtainedI、PQFor the two powers PI、PQThe square sum is performed and then the sum is squared. The power integral is specifically expressed by the formula As shown. A plurality of short-term powers of the received power are thus obtained by this processing, and these short-term powers constitute a sequence.
For the above specific value of determining chips, taking the WCDMA system as an example, and the duration of the short-time power required to be obtained is smaller than half of the minimum granularity of the interference signal, there is 3.84Mchips in the WCDMA system for 1 second, so that 1/3.84M ═ 0.26us per chip, and for a slot cycle of 625us, i.e. a transmission duration of 625us, the number of chips of the short-time power should be less than: 312.5/0.26 ═ 1202, so the number of chips can be set to 512chips specifically. Therefore, if it is necessary to detect interference with a slot cycle of 625us, the power of the I channel and the Q channel of the receiving channel may be integrated every 512chips to obtain a plurality of short-time powers of the receiving channel. Obviously, if the duration of the acquired short-time power is less than half of the interference period of the interfering signal, the number of chips of the short-time power should be less than: the number of chips used is 9615 per 2500/0.26, so that a value smaller than this can be used. If the duration of the acquired short-time power is not limited, the calculation may be performed in one interference period, for example, the number of chips of the short-time power should be less than 5000/0.26-19230, and other calculation methods may be used to determine the number of chips.
And step 102, determining a sequence X (n) to be detected according to the short-time power sequence obtained in the step 101.
The sequence to be detected determined in this step may be the short-time power sequence obtained in step 101, or may be a sequence to be detected formed by intercepting a certain number of data from the short-time power sequence and forming the intercepted data.
For the case of intercepting a certain number of data, in order to reduce false triggering caused by randomness of signals, a specific value may also be preset, and the number of the intercepted data in step 101 needs to be greater than the specific value. Wherein the specific value can be calculated according to a precision range, for example, according to a formula <math> <mrow> <mn>3</mn> <mfrac> <msup> <mi>σ</mi> <mn>2</mn> </msup> <msqrt> <mi>n</mi> </msqrt> </mfrac> <mo><</mo> <mi>L</mi> </mrow> </math> And determining, wherein σ is the root mean square difference of the received signal in the non-interference condition, n is the specific value, and L is the set threshold value in the non-interference condition.
Specifically, the number of data extracted from the short-time power sequence in step 101 is different for different detection accuracy requirements. For example, if the root mean square difference σ of the received signal is 1 and the threshold is set to 0.1 without interference, the equation is followed <math> <mrow> <mn>3</mn> <mfrac> <msup> <mi>σ</mi> <mn>2</mn> </msup> <msqrt> <mi>n</mi> </msqrt> </mfrac> <mo><</mo> <mi>L</mi> </mrow> </math> Determining that the number of the sequences X (n) to be detected is required to be not less than 900. And if the threshold value is set to 0.3, according to the formula <math> <mrow> <mn>3</mn> <mfrac> <msup> <mi>σ</mi> <mn>2</mn> </msup> <msqrt> <mi>n</mi> </msqrt> </mfrac> <mo><</mo> <mi>L</mi> </mrow> </math> Determining that the sequence X (n) to be detected is required to obtain not less than 100 values. The number of short-time power sequence data obtained in step 101 is preferably 10 times or more the value of sequence x (n) because of the different duty cycles of the interference sequences.
In addition, in step 102, before determining the sequence x (n) to be detected, normalization processing may be performed on each corresponding power value, and then the obtained sequence (n) may be used as the sequence to be detected in step 103.
And the normalization process performed may specifically be averaging each power value and subtracting the average value from each power value. So that each value in the sequence x (n) to be detected is the power value after subtraction of the average value. Therefore, after normalization, the mean value x of the sequences to be detected x (n) is 0.
103, performing correlation detection on the sequence x (n) to be detected determined in step 102 by using a preset interference correlation sequence to obtain a detection result sequence, and determining whether the received signal has time division interference corresponding to the interference correlation sequence by comparing each value in the detection result sequence with a preset threshold range.
Before describing in detail the processing of step 103 in an embodiment, the received signal and interference correlation sequence are first analyzed.
For a received signal, if no interference exists, it can be considered as a sequence satisfying a white noise characteristic, and its distribution satisfies a normal distribution, the mean of the sequence is x, and the root mean square difference is σ. According to the white noise characteristics, a new sequence formed by extracting partial values of the white noise satisfies normal distribution.
Therefore, in step 103, n values in the sequence x (n) obtained in step 102 can be intercepted by the interference correlation sequence, and averaged, if no interference corresponding to the interference correlation sequence exists, the extracted sequence average value has a probability of falling within its confidence interval of 97.7%, and the confidence interval of the normal signal isIs prepared from Of course, if the sequence x (n) is normalized, i.e. the mean value is subtracted from each value, x of the sequence x (n) is 0. However, if there is interference corresponding to the interference correlation sequence, the coherent mean value will necessarily fall within other confidence intervals different from the above-mentioned interval, and the confidence interval is referred to as the confidence interval of the interference signal. If the above two confidence intervals do not intersect, the probability of false triggering, i.e., false determination of a normal signal as an interference signal, can be greatly reduced, and therefore, the confidence interval of the interference signal can be set to (0,
and (a), (b) and (c)∞)。
Thus, by convolving the interference correlation sequence consisting of 0 and 1 with the sequence x (n) obtained in step 102, with 0 representing no interference and 1 representing interference, if the interference correlation sequence is aligned with the sequence x (n), the convolved values are those values at which the received signal emphasis, which may be due to interference, increases, in which case if the mean of these values is greater than the mean of these values
Or less than
It is indicated that there is a probability of interference above 97.7%.
Based on the above analysis, it can be determined that, in the above scheme, the interference correlation sequence h (n) is preset according to the interference characteristics that may exist, and the number of the set interference correlation sequence h (n) may be the same as or different from the number of data in the sequence x (n) to be detected, as long as it is ensured that the settings of 0 and 1 in the interference correlation sequence h (n) correspond to the interference period of the corresponding interference signal. For example, for single channel interference of a PHS base station, the interference correlation sequence h (n) includes 0 of 1 of 0.625ms and 0 of 4.375ms, for short-time power of 512chips, 5000/(512 × 0.26) ═ 37.5 times of interference detection can be performed in 5ms, i.e. 5000us, and 625/(512 × 0.26) ═ 4 times of interference detection can be performed in each interference period, i.e. 625us, since the sequence must be an integer, the sequence may be set to include 75 values, and specifically: 1. 1, 0 (34 total 0), 1, 0 (33 total 0). For PHS4 channel interference, the interference correlation sequence h (n) includes 1 of 2.5ms and 0 of 2.5ms, so the sequence also includes 75 values, and the sequence may specifically be: 1. 1, 1 (19 1 s in total), 0 (19 0 s in total), 1 (19 1 s in total), 0 (18 0 s in total). For other interferers, the corresponding interference correlation sequence h (n) may be determined according to the interference period.
The processing of the subsequent step 103 specifically includes:
step A, shifting a preset interference correlation sequence H (n) step by step, convolving the sequence X (n) to be detected obtained in step 102 with the interference correlation sequence shifted each time, averaging a plurality of values obtained by each convolution, and forming a detection result sequence Y (tau) by all obtained average values.
Y(τ)＝∑X(n)H(n-τ)
And B, comparing all values in the detection result sequence Y (tau) with a preset threshold range to determine whether the received signal has time division interference corresponding to the interference correlation sequence.
From the above analysis, the threshold range may be (A)
It may also be a (0,) And (a), (b) and (c)
Infinity). If the detection result is in the former threshold range, the step B can determine that corresponding time division interference does not exist when all values in the detection result sequence are determined to be values in the range; otherwise, i.e. if the value is not within the range, it is determined that interference is present. If the range is the latter threshold range, when the value falling into the range is determined to exist, the corresponding time division interference can be determined to exist; if all values are not within the range, then it is determined that no interference is present.
An embodiment of the present invention further provides a system for implementing interference detection, where a communication device in the system includes a short-time power obtaining module and an interference detecting module shown in fig. 2. The communication device may specifically be a base station, or may be another device in the system. The apparatus is described in detail below with reference to fig. 2 and 3.
An embodiment of the interference detection apparatus for implementing the above method embodiment is shown in fig. 2, and specifically includes a short-time power obtaining module and an interference detection module, wherein,
the short-time power acquisition module is used for acquiring short-time power according to the received signal, taking a sequence formed by the short-time power of the received signal as a short-time power sequence and sending the short-time power sequence to the interference detection module;
and the interference detection module is used for determining a sequence to be detected according to the received short-time power sequence, performing correlation detection on the sequence to be detected by using a preset interference correlation sequence, and determining whether the received signal has time division interference corresponding to the interference correlation sequence by comparing each value in the obtained detection result sequence with a preset threshold range.
As can be seen from fig. 3, the short-time power obtaining module may specifically include: the short-time power sequence forming module and the short-time power sequence sending module. Specifically, the short-time power sequence forming module may obtain the short-time power according to the received signal, and use a sequence formed by the short-time powers of the received signal as the short-time power sequence, and send the short-time power sequence to the interference detecting module through the short-time power sequence sending module.
As can be seen from fig. 3, the interference detection module may specifically include: the device comprises a correlation detection module and an interference judgment module.
Specifically, the correlation detection module is configured to determine a sequence to be detected according to the received short-time power sequence, perform correlation detection on the sequence to be detected by using a preset interference correlation sequence, and send an obtained detection result sequence to the interference determination module.
And the interference judging module is used for comparing the value in the received detection result sequence with a preset threshold range and determining whether the received signal has time division interference corresponding to the interference correlation sequence.
The short-time power obtaining module in fig. 2 obtains the short-time power according to the received signal specifically may be that the short-time power obtaining module obtains the short-time power by performing short-time power integration on the received signal. Of course, if the short-time power obtaining module is composed of a short-time power sequence forming module and a short-time power sequence sending module, the processing is specifically executed by the short-time power sequence forming module.
The short-time power integration of the received signal may specifically include: the I channel and the Q channel of the receiving channel are integrated every set number of chips, and the set value of the number of chips is determined by the cycle characteristic of the estimated interference signal. The specific integration process is as described above and will not be described herein.
The short-time power obtaining module or the short-time power sequence forming module performs short-time power integration on the received signal, specifically, the short-time power obtaining module may obtain the short-time power whose duration is less than half of the interference period of the interference signal, or obtain the short-time power whose duration is less than half of the minimum granularity of the interference signal.
In addition, the preset interference correlation sequence may be specifically determined according to an interference period of the interference signal, and in the sequence, a value corresponding to a period with interference is 1, and a value corresponding to a period without interference is 0.
In the interference detection module, the sequence to be detected is determined according to the received short-time power sequence, specifically, the received short-time power sequence may be directly used as the sequence to be detected, or a plurality of data may be intercepted from the short-time power sequence and used as the sequence to be detected. And for the second case described above, i.e., for the process of intercepting a plurality of data from a short-time power sequence, the number of intercepted data may also be set to be greater than a preset specific value. The specific value is calculated as described above, and is not described herein again. In addition, if the interference detection module is specifically composed of a correlation detection module and an interference judgment module, the above processing may be specifically performed by the correlation detection module, and the following processing is also performed by the correlation detection module.
In the interference detection module, when the sequence to be detected is determined according to the short-time power sequence, the data forming the sequence to be detected may be normalized, and the processed values form the sequence to be detected.
The correlation detection performed by the interference detection module may specifically be that the interference correlation sequence is shifted step by step, the sequence to be detected is convolved with the interference correlation sequence shifted each time, and a plurality of values obtained by each convolution are averaged to obtain all average values to form a detection result sequence.
In addition, as mentioned above, the preset threshold range may be: ( 
In this case, the interference detection module then determines that all values in the sequence of detection results are within the threshold range,determining that an interfering signal is not present; upon determining that one or more values are outside of the threshold range, determining that an interfering signal is present.
The preset threshold range may also be: (0,
) And (a)
Infinity), the interference detection module then determines that an interfering signal is not present when all values in the sequence of detection results are determined not to be within the threshold range, and determines that an interfering signal is present when one or more values are determined to be within the threshold range.
The above description is only a preferred implementation of the embodiments of the present invention, and is not intended to limit the scope of the present invention.
Claims (20)
1. An interference detection method, comprising the steps of:
acquiring short-time power according to the received signal, and acquiring a received signal short-time power sequence consisting of the short-time power of the received signal;
determining a sequence to be detected according to the obtained short-time power sequence;
performing correlation detection on the sequence to be detected by using a preset interference correlation sequence to obtain a detection result sequence;
and comparing the value in the detection result sequence with a preset threshold range to determine whether the received signal has time division interference corresponding to the interference correlation sequence.
2. The method of claim 1, wherein the duration of the short-time power is less than half of an interference period of an interfering signal; or less than half the minimum granularity of the interfering signal.
3. The method of claim 1, wherein the obtaining the short-time power from the received signal is: the short-time power is obtained by integrating the short-time power of the received signal.
4. The method of claim 1, 2 or 3, wherein the obtaining the short-time power from the received signal comprises: the I channel and the Q channel of a receiving channel are integrated every set chip number, and the set value of the chip number is determined by the cycle characteristic of the estimated interference signal.
5. The method of claim 1, wherein the predetermined interference correlation sequence is determined according to an interference period of an interference signal, and a period with interference in the interference correlation sequence corresponds to a value of 1 and a period without interference corresponds to a value of 0.
6. The method of claim 1,
the determining the sequence to be detected according to the obtained short-time power sequence comprises:
directly taking the short-time power sequence as a sequence to be detected;
or,
and intercepting a plurality of data from the acquired short-time power sequence, and taking a sequence formed by the intercepted data as a sequence to be detected.
7. The method of claim 1, wherein the determining the sequence to be detected according to the obtained short-time power sequence comprises: and intercepting a plurality of data in the short-time power sequence, wherein the number of the intercepted data is greater than a preset specific value, and the intercepted data form a sequence to be detected.
8. The method of claim 7, wherein the predetermined specific value is according to a formula <math> <mrow> <mn>3</mn> <mfrac> <msup> <mi>σ</mi> <mn>2</mn> </msup> <msqrt> <mi>n</mi> </msqrt> </mfrac> <mo><</mo> <mi>L</mi> </mrow> </math> Determining, wherein σ is the root mean square difference of the received signal without interference, and n is the characteristic
And the fixed value L is a threshold value under the set condition of no interference.
9. The method according to any one of claims 1, 2, 3 and 5 to 8, wherein the determining the sequence to be detected according to the obtained short-time power sequence comprises: and carrying out normalization processing on data forming the sequence to be detected, and forming the sequence to be detected by the processed numerical data.
10. The method according to any one of claims 1, 2, 3 and 5 to 8, wherein the performing the correlation detection on the sequence to be detected by using the preset interference correlation sequence comprises: and gradually shifting the interference correlation sequence, convolving the sequence to be detected with the interference correlation sequence shifted each time, averaging a plurality of values obtained by each convolution, and forming a detection result sequence by all obtained average values.
11. The method of any one of claims 1, 2, 3, and 5 to 8,
the preset threshold range is as follows:
wherein x is a short-time power sequence or the mean value of the sequence to be detected, sigma is the corresponding root-mean-square difference, and n is the number of the sequence to be detected;
the step of determining whether the received signal has time division interference corresponding to the interference correlation sequence through comparison is as follows: determining that no interfering signal is present if all values in the sequence of detection results are within the threshold range, and determining that an interfering signal is present if one or more values are outside the threshold range;
or, the preset threshold range is: (0,and (a)Infinity), wherein x is the short-time power sequence or the mean value of the sequence to be detected, sigma is the corresponding root mean square difference, and n is the numerical number of the sequence to be detected;
the step of determining whether the received signal has time division interference corresponding to the interference correlation sequence through comparison is as follows: and if all values in the detection result sequence are not in the threshold range, determining that no interference signal exists, and if one or more values are in the threshold range, determining that the interference signal exists.
12. An apparatus that enables interference detection, the apparatus comprising: a short-time power acquisition module and an interference detection module, wherein,
the short-time power acquisition module is used for acquiring short-time power according to the received signal, taking a sequence formed by the short-time power of the received signal as a short-time power sequence and sending the short-time power sequence to the interference detection module;
the interference detection module is configured to determine a sequence to be detected according to the received short-time power sequence, perform correlation detection on the sequence to be detected by using a preset interference correlation sequence, and determine whether the received signal has time division interference corresponding to the interference correlation sequence by comparing a value in an obtained detection result sequence with a preset threshold range.
13. The apparatus of claim 12, wherein the short-time power harvesting module comprises: a short-time power sequence forming module and a short-time power sequence transmitting module, wherein,
the short-time power sequence forming module is used for obtaining short-time power according to the received signal, taking a sequence formed by the short-time power of the received signal as a short-time power sequence, and sending the short-time power sequence to the interference detection module through the short-time power sequence sending module.
14. The apparatus of claim 13, wherein the short-time power sequence forming module is configured to obtain the short-time power by performing short-time power integration on the received signal.
15. The apparatus of claim 13, wherein the short-time power sequence forming module is configured to obtain the short-time power with a duration less than half of an interference period of the interference signal or obtain the short-time power with a duration less than half of a minimum granularity of the interference signal by performing short-time power integration on the received signal.
16. The apparatus of claim 12, wherein the interference detection module comprises: a correlation detection module and an interference judgment module, wherein,
the correlation detection module is used for determining a sequence to be detected according to the received short-time power sequence, performing correlation detection on the sequence to be detected by using a preset interference correlation sequence, and sending an obtained detection result sequence to the interference judgment module;
and the interference judging module is used for comparing the value in the received detection result sequence with a preset threshold range and determining whether the received signal has time division interference corresponding to the interference related sequence according to the comparison result.
17. The apparatus of claim 16, wherein the correlation detection module is configured to directly use the received short-time power sequence as the sequence to be detected, or intercept a plurality of data from the short-time power sequence and use the data as the sequence to be detected.
18. The apparatus of claim 16, wherein the correlation detection module is further configured to perform normalization processing on data constituting a sequence to be detected, and constitute the processed data into the sequence to be detected.
19. The apparatus of claim 16, wherein the correlation detection module is configured to perform a gradual shift on the interference correlation sequence, convolve the sequence to be detected with the interference correlation sequence after each shift, and average a plurality of values obtained by each convolution, so that all obtained average values form a detection result sequence.
20. The apparatus of claim 16,
the preset threshold range is as follows:
wherein x is a short-time power sequence or the mean value of the sequence to be detected, sigma is the corresponding root-mean-square difference, and n is the number of the sequence to be detected;
the interference judging module is used for determining that no interference signal exists when all values in the detection result sequence are determined to be within the threshold range, and determining that an interference signal exists when one or more values are determined to be outside the threshold range;
the preset threshold range is either: (0,
and (a)Infinity), wherein x is the short-time power sequence or the mean value of the sequence to be detected, sigma is the corresponding root mean square difference, and n is the numerical number of the sequence to be detected;
the interference judging module is configured to determine that no interference signal exists when all values in the detection result sequence are determined to be not within the threshold range, and determine that an interference signal exists when one or more values are determined to be within the threshold range.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2006101694782A CN1972165B (en) | 2006-12-15 | 2006-12-15 | An interference detection method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2006101694782A CN1972165B (en) | 2006-12-15 | 2006-12-15 | An interference detection method and apparatus |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1972165A true CN1972165A (en) | 2007-05-30 |
| CN1972165B CN1972165B (en) | 2010-12-08 |
Family
ID=38112792
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2006101694782A Active CN1972165B (en) | 2006-12-15 | 2006-12-15 | An interference detection method and apparatus |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1972165B (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101931601A (en) * | 2009-06-24 | 2010-12-29 | 晨星软件研发(深圳)有限公司 | Interference detector and method thereof |
| CN102833190A (en) * | 2011-06-13 | 2012-12-19 | 联芯科技有限公司 | Edge detection method and device for constant envelope same frequency interference |
| CN102045738B (en) * | 2009-10-19 | 2015-10-21 | 中兴通讯股份有限公司 | Interference detection method and device |
| CN105165052A (en) * | 2014-02-21 | 2015-12-16 | 华为技术有限公司 | Spectrum conflict processing method and apparatus |
| CN108882303A (en) * | 2017-05-08 | 2018-11-23 | 大唐移动通信设备有限公司 | A kind of bypassing method and device of interference |
| CN110275171A (en) * | 2018-03-15 | 2019-09-24 | 郑州宇通客车股份有限公司 | A kind of Radar for vehicle detecting and control method and vehicle |
| CN112887235A (en) * | 2020-12-30 | 2021-06-01 | 鹤壁天海电子信息系统有限公司 | Interference detection method of received signal, terminal and storage device |
| CN113923091A (en) * | 2021-08-25 | 2022-01-11 | 珠海全志科技股份有限公司 | Offset interference detection method and device based on phase weighting |
| WO2022188467A1 (en) * | 2021-03-09 | 2022-09-15 | 中兴通讯股份有限公司 | Interference detection method, apparatus and device, and storage medium |
| CN115379476A (en) * | 2022-08-10 | 2022-11-22 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining cell interference type |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5237587A (en) * | 1992-11-20 | 1993-08-17 | Magnavox Electronic Systems Company | Pseudo-noise modem and related digital correlation method |
| US5475869A (en) * | 1993-05-28 | 1995-12-12 | Nec Corporation | Radio base station capable of distinguishing between interference due to collisions of outgoing call signals and an external interference noise |
| US5680419A (en) * | 1994-08-02 | 1997-10-21 | Ericsson Inc. | Method of and apparatus for interference rejection combining in multi-antenna digital cellular communications systems |
| EP1062746B1 (en) * | 1997-09-15 | 2004-03-24 | Kathrein-Werke KG | Practical space-time radio method for cdma communication capacity enhancement |
| KR100268670B1 (en) * | 1997-12-29 | 2000-10-16 | 윤종용 | Pn code acquisition apparatus for direct sequence spreading spectrum communication |
| US6501788B1 (en) * | 1999-01-22 | 2002-12-31 | Ericsson Inc. | Apparatus and methods for intereference cancellation in spread spectrum communications systems |
| CN1115895C (en) * | 1999-06-25 | 2003-07-23 | 中国科学技术大学 | Multiple user interferences cancellation method for database inquiry and threshold judgement and receiver |
| JP3836688B2 (en) * | 2001-05-25 | 2006-10-25 | 株式会社エヌ・ティ・ティ・ドコモ | Radio link interference detection method and interference prevention system |
-
2006
- 2006-12-15 CN CN2006101694782A patent/CN1972165B/en active Active
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101931601A (en) * | 2009-06-24 | 2010-12-29 | 晨星软件研发(深圳)有限公司 | Interference detector and method thereof |
| CN101931601B (en) * | 2009-06-24 | 2013-01-16 | 晨星软件研发(深圳)有限公司 | Interference detector and method thereof |
| CN102045738B (en) * | 2009-10-19 | 2015-10-21 | 中兴通讯股份有限公司 | Interference detection method and device |
| CN102833190A (en) * | 2011-06-13 | 2012-12-19 | 联芯科技有限公司 | Edge detection method and device for constant envelope same frequency interference |
| CN102833190B (en) * | 2011-06-13 | 2015-05-20 | 联芯科技有限公司 | Edge detection method and device for constant envelope same frequency interference |
| CN105165052A (en) * | 2014-02-21 | 2015-12-16 | 华为技术有限公司 | Spectrum conflict processing method and apparatus |
| CN108882303A (en) * | 2017-05-08 | 2018-11-23 | 大唐移动通信设备有限公司 | A kind of bypassing method and device of interference |
| CN110275171A (en) * | 2018-03-15 | 2019-09-24 | 郑州宇通客车股份有限公司 | A kind of Radar for vehicle detecting and control method and vehicle |
| CN112887235A (en) * | 2020-12-30 | 2021-06-01 | 鹤壁天海电子信息系统有限公司 | Interference detection method of received signal, terminal and storage device |
| CN112887235B (en) * | 2020-12-30 | 2022-11-29 | 鹤壁天海电子信息系统有限公司 | Interference detection method of received signal, terminal and storage device |
| WO2022188467A1 (en) * | 2021-03-09 | 2022-09-15 | 中兴通讯股份有限公司 | Interference detection method, apparatus and device, and storage medium |
| CN113923091A (en) * | 2021-08-25 | 2022-01-11 | 珠海全志科技股份有限公司 | Offset interference detection method and device based on phase weighting |
| CN113923091B (en) * | 2021-08-25 | 2024-10-15 | 珠海全志科技股份有限公司 | Offset interference detection method and device based on phase weighting |
| CN115379476A (en) * | 2022-08-10 | 2022-11-22 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining cell interference type |
| CN115379476B (en) * | 2022-08-10 | 2024-03-19 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining cell interference type |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1972165B (en) | 2010-12-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1972165B (en) | An interference detection method and apparatus | |
| JP4199768B2 (en) | Signal acquisition apparatus and method for reducing false alarm probability | |
| US7688878B2 (en) | Method and device of peak detection in preamble synchronization for direct sequence spread spectrum communication | |
| US7349503B2 (en) | Adaptive interference immunity control | |
| US11303485B2 (en) | Signal acquisition method and device | |
| KR20080059669A (en) | Apparatus and methods for reducing channel estimation noise in a wireless transceiver | |
| CN101640570A (en) | Frequency spectrum cognitive method and energy detection method and device | |
| CN103297159A (en) | Spectrum sensing method and device | |
| US8886148B2 (en) | Signal based gain control | |
| Salama et al. | Enhanced energy detection using matched filter for spectrum sensing in cognitive radio networks | |
| US8737457B2 (en) | Adaptive smoothing of channel estimates | |
| CN102013928B (en) | Fast spectrum perception method in cognitive radio system | |
| Budati et al. | Identify the user presence by GLRT and NP detection criteria in cognitive radio spectrum sensing | |
| CN104253659B (en) | Spectrum sensing method and device | |
| CN108401255B (en) | Double-stage blind spectrum sensing scheme | |
| Liu et al. | An adaptive double thresholds scheme for spectrum sensing in cognitive radio networks | |
| CN109219054A (en) | The frequency spectrum sensing method of double users in a kind of cognition network | |
| KR101298434B1 (en) | System and method for spectrum sensing of spectrum usage in wireless communication system | |
| WO2018167476A1 (en) | Signal detection based on stochastic resonance | |
| Wotaif et al. | Spectrum sensing detection for non-stationary primary user signals over dynamic threshold energy detection in cognitive radio system | |
| CN102111228B (en) | Cognitive radio frequency spectrum sensing method based on circulation symmetry | |
| CN108718223B (en) | Blind spectrum sensing method for non-cooperative signals | |
| KR101154166B1 (en) | Method for analyzing performance of spectrum sensing methods for cognitive radio systems | |
| US20110182346A1 (en) | Apparatus and method for estimating noise and interference power in communication system | |
| Subekti et al. | A Jarque-Bera test based spectrum sensing for cognitive radio |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220118 Address after: 450046 Floor 9, building 1, Zhengshang Boya Plaza, Longzihu wisdom Island, Zhengdong New Area, Zhengzhou City, Henan Province Patentee after: xFusion Digital Technologies Co., Ltd. Address before: 518129 Bantian HUAWEI headquarters office building, Longgang District, Guangdong, Shenzhen Patentee before: HUAWEI TECHNOLOGIES Co.,Ltd. |