CN102215514B - Signal joint detection method and device - Google Patents
Signal joint detection method and device Download PDFInfo
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- CN102215514B CN102215514B CN201010145666.8A CN201010145666A CN102215514B CN 102215514 B CN102215514 B CN 102215514B CN 201010145666 A CN201010145666 A CN 201010145666A CN 102215514 B CN102215514 B CN 102215514B
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Abstract
The invention discloses a signal joint detection method, which is used for improving the detection performance of joint detection. The method comprises the following steps of: determining whether noises are high or low according to the first power of a noise signal and a preset threshold value; when the noises are determined to be low, performing the joint detection on the signal according to a first algorithm used for eliminating multiple access interference; and when the noises are determined to be high, performing the joint detection on the signal according to a second algorithm used for suppressing the noises. The invention also discloses a device for implementing the method.
Description
Technical field
The present invention relates to the communications field, particularly relate to combined signal detection method and device.
Background technology
In cdma system, due to multiple users' random access, the spreading code set using is not generally strict orthogonal, and non-zero cross-correlation coefficient can cause that the phase mutual interference between each user is that multiple access disturbs (MAI); The existence that multiple access disturbs brings two problems: the one, and the capacity of system is restricted, and the 2nd, near-far interference has a strong impact on systematic function.According to the difference to MAI processing method, suboptimum multiuser detection can be divided into two kinds of Interference Cancellation and joint-detection (being called again linearity test).Comparatively speaking, joint detection algorithm has the little advantage that is easy to realization of amount of calculation, is widely used in practice.The joint detection algorithm expression formula adopting is as shown in the formula institute's formula:
Wherein,
be called least-mean-square error algorithm (MMSE).H represents conjugate transpose computing, and A is sytem matrix, R
nfor the covariance matrix of noise, R
dfor sending the covariance matrix of data, reception signal is e.If R
d=I, formula 1 can be reduced to:
MMSE algorithm has certain inhibition ability to noise, and can eliminate multiple access and disturb and intersymbol interference.Therefore, generally all can adopt MMSE algorithm to carry out the joint-detection of signal.
At present joint detection algorithm has only used MMSE detection algorithm, in the time that noise is larger, its anti-noise ability a little less than.Such as, under additive white Gaussian noise (Additive White Gaussian Noise, AWGN) channel circumstance or under with direct projection footpath class awgn channel environment, MMSE can not reach gratifying detection performance.
Summary of the invention
The embodiment of the present invention provides a kind of combined signal detection method and device, for improving the detection performance of joint-detection.
A kind of combined signal detection method, comprises the following steps:
Determine that according to the first power of noise signal and default threshold value noise is large or little;
When noise hour, according to for the first algorithm of eliminating multiple access interference, signal being carried out to joint-detection;
In the time that noise is large, according to for the second algorithm that suppresses noise, signal being carried out to joint-detection;
Wherein, the first method and the second method are the least-mean-square error algorithm MMSE that comprises modifying factor, and the MMSE that comprises modifying factor specifically comprises: pass through
determine joint detection results, wherein α is modifying factor, and in the first algorithm
α=1, α > 1 in the second algorithm, A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.
The device detecting for combined signal, comprising:
Judge module, for determining that according to the first power of noise signal and default threshold value noise is large or little;
Detection module, for working as noise hour, according to for the first algorithm of eliminating multiple access interference, signal being carried out to joint-detection, in the time that noise is large, according to for the second algorithm that suppresses noise, signal being carried out to joint-detection; Wherein, the first method and the second method are the least-mean-square error algorithm MMSE that comprises modifying factor, and the MMSE that comprises modifying factor specifically comprises: pass through
determine joint detection results, wherein α is modifying factor, and in the first algorithm
α=1, α > 1 in the second algorithm, A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.
In the embodiment of the present invention, for the first algorithm of eliminating multiple access interference, signal is carried out to joint-detection compared with hour employing at noise, in the time that noise is larger, adopt the second algorithm for suppressing noise to carry out joint-detection to signal, adopt corresponding algorithm to carry out joint-detection for different network environments, improved the detection performance of joint-detection.
Brief description of the drawings
Fig. 1 is the main method flow chart that in the embodiment of the present invention, combined signal detects;
Fig. 2 is the flow chart of the associated detecting method of signal while determining noise states according to the first power and the first threshold value in the embodiment of the present invention;
Fig. 3 is the flow chart of the associated detecting method of signal while determining noise states according to the first power, the second power and the second threshold value in the embodiment of the present invention;
Fig. 4 is the flow chart of the associated detecting method of signal while determining noise states according to the first power, the second power and the 3rd threshold value in the embodiment of the present invention;
Fig. 5 is the primary structure figure installing in the embodiment of the present invention;
Fig. 6 is the detailed structure view of installing in the embodiment of the present invention;
Fig. 7 is the schematic diagram of simulation result in the embodiment of the present invention.
Embodiment
In the embodiment of the present invention, for the first algorithm of eliminating multiple access interference, signal is carried out to joint-detection compared with hour employing at noise, in the time that noise is larger, adopt the second algorithm for suppressing noise to carry out joint-detection to signal, adopt corresponding algorithm to carry out joint-detection for different network environments, improved the detection performance of joint-detection.
Referring to Fig. 1, the main method flow process that in the present embodiment, combined signal detects is as follows:
Step 101: determine that according to the first power of noise signal and default threshold value noise is large or little.
Step 102: when noise hour, according to for the first algorithm of eliminating multiple access interference, signal being carried out to joint-detection.
Step 103: in the time that noise is large, according to for the second algorithm that suppresses noise, signal being carried out to joint-detection.
Each step in above flow process has multiple implementation.In step 101, as judged, whether the first power of noise signal is not less than the first default threshold value, if so, determines that noise is large, otherwise determines that noise is little.Or, determine that according to the second power and the default threshold value of the first power of noise signal and reception signal noise is large or little.Concrete, judge whether the ratio of the first power and the second power is not less than the second default threshold value, if so, determine that noise is large, otherwise determine that noise is little; Or, judge whether the ratio of the second power and the first power is not less than the 3rd default threshold value, if so, determine that noise is little, otherwise determine that noise is large.Can also there is other to judge that noise is large or little mode, all be applicable to the present embodiment, not enumerate herein.In step 102, the first algorithm is least-mean-square error algorithm (MMSE), and the expression formula of MMSE algorithm is
a is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.Or the expression formula of MMSE algorithm is slightly done and is out of shape, as
α is modifying factor, and α=1.The second algorithm is matched filtering algorithm (MF) or the MMSE algorithm that comprises modifying factor.The expression formula of MF is
t=I.The expression formula of the MMSE algorithm that comprises modifying factor is
α > 1.Do not do when the first algorithm adopts the MMSE algorithm being out of shape, when the second algorithm adopts MF algorithm, the detection performance of joint-detection is better.In the time that the first algorithm and the second algorithm all adopt the MMSE algorithm that comprises modifying factor, α=1 in the first algorithm, α > 1 in the second algorithm, can realize different algorithms by the different values of α like this, simplify the implementation procedure of algorithm, and improved detection performance.In order to make the T matrix in revised MMSE algorithm can be degenerated to numbers matrix, α can be a very large value, as α > 10.α is also relevant with signal to noise ratio, and signal to noise ratio is larger, and the value of α is established littlely, detects performance just better.
Introduce in detail below by three embodiment.
Referring to Fig. 2, while determining noise states according to the first power and the first threshold value in the present embodiment, the flow process of the associated detecting method of signal is as follows:
Step 201: obtain the channel impulse response that receives signal.?
ka is antenna number, and Ka is total antenna number, and W is that channel estimation window is long.
Step 202: the first power P of determining noise signal according to channel impulse response
n.
Step 203: judge whether the first power is not less than the first threshold value, if so, determine that noise, in larger state, continues step 204, otherwise determine that noise, in less state, continues step 205.
Step 204: adopt MF algorithm to carry out to received signal joint-detection.
Step 205: adopt undeformed MMSE algorithm to carry out to received signal joint-detection.
Referring to Fig. 3, while determining noise states according to the first power, the second power and the second threshold value in the present embodiment, the flow process of the associated detecting method of signal is as follows:
Step 301: obtain the channel impulse response that receives signal.?
ka is antenna number, and Ka is total antenna number, and W is that channel estimation window is long.
Step 302: the first power P of determining noise signal according to channel impulse response
n.
Step 303: determine the second power P that receives signal according to channel impulse response
d.This step can be carried out with step 302 simultaneously.
Step 304: whether the ratio that judges the first power and the second power is not less than the second threshold value, if so, determines that noise, in larger state, continues step 305, otherwise determines that noise, in less state, continues step 306.The second thresholding obtains by the method for emulation, detects better performances when emulation value is 4dB in TD-SCDMA.
Step 305: adopt the MMSE algorithm that comprises α to carry out to received signal joint-detection, α > 1.
Step 306: adopt the MMSE algorithm that comprises α to carry out to received signal joint-detection, α=1.
Wherein, step 304-306 can be expressed as:
Threshold ' is the second thresholding.
Referring to Fig. 4, while determining noise states according to the first power, the second power and the 3rd threshold value in the present embodiment, the flow process of the associated detecting method of signal is as follows:
Step 401: obtain the channel impulse response that receives signal.?
ka is antenna number, and Ka is total antenna number, and W is that channel estimation window is long.
Step 402: the first power P of determining noise signal according to channel impulse response
n.
Step 403: determine the second power P that receives signal according to channel impulse response
d.This step can be carried out with step 402 simultaneously.
Step 404: whether the ratio that judges the second power and the first power is not less than the 3rd threshold value, if so, determines that noise, in less state, continues step 406, otherwise determines that noise, in larger state, continues step 405.The 3rd thresholding obtains by the method for emulation, detects better performances as emulation value in TD-SCDMA during for-4dB.Wherein the 3rd threshold value and the second threshold value opposite number each other.
Step 405: adopt MF algorithm to carry out to received signal joint-detection.
Step 406: adopt undeformed MMSE algorithm to carry out to received signal joint-detection.
Wherein, step 404-406 can be expressed as:
Threshold is the 3rd thresholding.
In the present embodiment, the first thresholding, the second thresholding and the 3rd thresholding are for determining that noise is large or little, and for the detection performance of balance the first algorithm and the second algorithm, the flex point of the detection performance of corresponding the first algorithm of each thresholding and the second algorithm in other words, while being not more than noise corresponding to this flex point, the detection performance of the first algorithm is better than the detection performance of the second algorithm, while being greater than noise corresponding to this flex point, the detection performance of the second algorithm is better than the detection performance of the first algorithm.
Understood by above description the implementation procedure that combined signal detects, this process can be realized by device, and the internal structure to this device and function are introduced below.
Referring to Fig. 5, the device detecting for combined signal in the present embodiment comprises: judge module 501 and detection module 502.This device can be the equipment that base station or mobile phone etc. can be used as signal receiving end.
Judge module 501 is for determining that according to the first power of noise signal and default threshold value noise is large or little.Judge module 501 judges whether the first power of noise signal is not less than the first default threshold value, if so, determines that noise is large, otherwise determines that noise is little.Or judge module 501 is according to the size of the second power determination noise of the first power of noise signal and reception signal.Rear a kind of mode also comprises: judge module 501 judges whether the ratio of the first power and the second power is not less than the second default threshold value, if so, determines that noise is large, otherwise determines that noise is little; Or judge module 501 judges whether the ratio of the second power and the first power is not less than the 3rd default threshold value, if so, determine that noise is little, otherwise determine that noise is large.
Detection module 502 is for working as noise hour, according to for the first algorithm of eliminating multiple access interference, signal being carried out to joint-detection, in the time that noise is large, according to for the second algorithm that suppresses noise, signal being carried out to joint-detection.The first algorithm is least-mean-square error algorithm MMSE.The expression formula of MMSE is
α is modifying factor, and α=1, and A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.The second algorithm is matched filtering algorithm MF; Or the second algorithm is the MMSE that comprises modifying factor.The expression formula of the MMSE that comprises modifying factor is
α is modifying factor, and α > 1, and A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.
Described device also comprises: estimation module 503 and power model 504, and shown in Figure 6.
Estimation module 503, for carrying out to received signal channel estimating, obtains channel impulse response.
Power model 504 is for obtaining the first power of noise signal and the second power of reception signal according to channel impulse response.
When Fig. 7 provides the scheme that adopts Fig. 3, the performance simulation result (also can be regarded as under the environment that direct projection footpath power is stronger) under awgn channel environment, ordinate BLER represents Block Error Rate, and abscissa Ior/Ioc represents the ratio of signal power and noise power.Simulation result when line 701 represents to adopt MF algorithm, the simulation result while adopting MMSE (MMSE optimized) algorithm after optimizing in the scheme shown in line 702 presentation graphs 3, simulation result when line 703 represents to adopt MMSE algorithm.Can find out from simulation curve, adopt this programme can improve the detection performance of receiver.
Can be stored in the storage mediums such as floppy disk, hard disk, CD and flash memory for the software of realizing the embodiment of the present invention.
In the embodiment of the present invention, for the first algorithm of eliminating multiple access interference, signal is carried out to joint-detection compared with hour employing at noise, in the time that noise is larger, adopt the second algorithm for suppressing noise to carry out joint-detection to signal, adopt corresponding algorithm to carry out joint-detection for different network environments, improved the detection performance of joint-detection.The embodiment of the present invention also provides the algorithm of multiple joint-detection, in having improved detection performance, has also simplified the complexity that algorithm is realized.And it is large or little method that the embodiment of the present invention provides multiple definite noise, is applicable to plurality of application scenes.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention the present invention.Like this, if these amendments of the present invention and within modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.
Claims (2)
1. a combined signal detection method, is characterized in that, comprises the following steps:
Determine that according to the first power of noise signal and default threshold value noise is large or little, wherein, specifically comprise: determine that according to the first power of noise signal and default threshold value noise is that large or little step comprises: whether the first power that judges noise signal is not less than the first default threshold value, if, determine that noise is large, otherwise determine that noise is little; Or, judge whether the ratio of the first power and the second power is not less than the second default threshold value, if so, determine that noise is large, otherwise determine that noise is little; Or, specifically comprise: whether the ratio that judges the second power and the first power is not less than the 3rd default threshold value, if so, determine that noise is little, otherwise determine that noise is large;
When noise hour, according to for the first method of eliminating multiple access interference, signal being carried out to joint-detection;
In the time that noise is large, according to for the second method that suppresses noise, signal being carried out to joint-detection;
Wherein, the first method and the second method are the least-mean-square error algorithm MMSE that comprises modifying factor, and the MMSE that comprises modifying factor specifically comprises: pass through
determine joint detection results, wherein α is modifying factor, and in the first algorithm α=1, α >1 in the second algorithm, A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.
2. the device detecting for combined signal, is characterized in that, comprising:
Judge module, for determining that according to the first power of noise signal and default threshold value noise is large or little, wherein, specifically for: whether the first power that judges noise signal is not less than the first default threshold value, if so, determine that noise is large, otherwise determine that noise is little; Or, judge whether the ratio of the first power and the second power is not less than the second default threshold value, if so, determine that noise is large, otherwise determine that noise is little; Or, judge whether the ratio of the second power and the first power is not less than the 3rd default threshold value, if so, determine that noise is little, otherwise determine that noise is large;
Detection module, for working as noise hour, according to for the first method of eliminating multiple access interference, signal being carried out to joint-detection, in the time that noise is large, according to for the second method that suppresses noise, signal being carried out to joint-detection; Wherein, the first method and the second method are the least-mean-square error algorithm MMSE that comprises modifying factor, and the MMSE that comprises modifying factor specifically comprises: pass through
determine joint detection results, wherein α is modifying factor, and in the first algorithm α=1, α >1 in the second algorithm, A is sytem matrix, R
nfor the covariance matrix of noise, H represents conjugate transpose computing, and I is unit matrix, and e is for receiving signal.
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| CN101282553A (en) * | 2007-04-05 | 2008-10-08 | 大唐移动通信设备有限公司 | Method for improving combined detection performance, baseband signal processor and base station |
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Address after: 100191 No. 40, Haidian District, Beijing, Xueyuan Road Patentee after: CHINA ACADEMY OF TELECOMMUNICATIONS TECHNOLOGY Address before: 100191 No. 40, Haidian District, Beijing, Xueyuan Road Patentee before: CHINA ACADEMY OF TELECOMMUNICATIONS TECHNOLOGY |
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Effective date of registration: 20210527 Address after: 100085 1st floor, building 1, yard 5, Shangdi East Road, Haidian District, Beijing Patentee after: DATANG MOBILE COMMUNICATIONS EQUIPMENT Co.,Ltd. Address before: 100191 No. 40, Haidian District, Beijing, Xueyuan Road Patentee before: CHINA ACADEMY OF TELECOMMUNICATIONS TECHNOLOGY |