CN101854189B - Soft signal identifying and spreading code catching method with frequency difference estimation - Google Patents

Soft signal identifying and spreading code catching method with frequency difference estimation Download PDF

Info

Publication number
CN101854189B
CN101854189B CN 201010178018 CN201010178018A CN101854189B CN 101854189 B CN101854189 B CN 101854189B CN 201010178018 CN201010178018 CN 201010178018 CN 201010178018 A CN201010178018 A CN 201010178018A CN 101854189 B CN101854189 B CN 101854189B
Authority
CN
China
Prior art keywords
frequency difference
signal
soft
spreading code
difference estimation
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.)
Active
Application number
CN 201010178018
Other languages
Chinese (zh)
Other versions
CN101854189A (en
Inventor
王金龙
沈良
任国春
程云鹏
郑学强
张玉明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
PLA University of Science and Technology
Original Assignee
PLA University of Science and Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by PLA University of Science and Technology filed Critical PLA University of Science and Technology
Priority to CN 201010178018 priority Critical patent/CN101854189B/en
Publication of CN101854189A publication Critical patent/CN101854189A/en
Application granted granted Critical
Publication of CN101854189B publication Critical patent/CN101854189B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Noise Elimination (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

The invention relates to a soft signal identifying and spreading code catching method with frequency difference estimation, which is conductive to increasing the probability of correctly identifying signals and catching spreading codes under the presence of frequency difference. The invention provides a soft SR/CA method adopting a dual decision threshold combined with frequency difference estimation, and the treatment on a sampling signal comprises the following processes: matching and relating the sampling signal with local spreading codes, calculating decision variables, and then comparing the decision variables with high and low thresholds so as to decide whether frequency difference correction is needed. On the basis of one path of SR/CA, the invention can carry out decision after further correcting the frequency difference by being combined with the frequency difference estimation method when the decision variable is between the high threshold and the low threshold via reasonably arranging the high and low dual decision thresholds, so the probability of signal identification can be increased under the condition that false-alarm probability is basically not changed, and the detection probability of the system can be further increased.

Description

A kind of soft signal identification and spreading code catching method with frequency difference estimation
Technical field
The present invention relates to the Resistant DS Spread Spectrum System simultaneous techniques in a kind of digital communicating field, particularly for adoptable synchronous method in the undesirable situation that contains certain frequency difference (being frequency difference in-less-than symbol speed), specifically identify and spreading code catching method with the soft signal of frequency difference estimation.
Background technology
Direct sequence spread spectrum (DS-SS) technology has anti-interference, anti-intercepting and capturing and the series of advantages such as ability of anti-multipath is strong, all have a wide range of applications at military and commercial field, second generation IS-95, third generation IMT-2000 standard as cell mobile communication systems have all adopted the CDMA scheme based on the DS-SS technology; Military jam-resistant communication system, satellite communication system also often adopt the DS-SS technology.In the DS-SS system, at first the data-signal that terminal will be recovered to transmit from receive signal must make local frequency expansion sequence synchronize with the frequency expansion sequence in the reception signal.
In the spread spectrum communication environment of reality, exist the effects such as multidiameter delay expansion, amplitude fading and Doppler frequency shift, must take corresponding measure to be overcome, inhibition and the elimination negative effect to the DS-SS systematic function.Traditional method is that Rake receives, and estimates the information such as time delay, the amplitude of fading and phase place in different paths by simultaneous techniques, and the multipath signal that separates is got up to reduce the impact of multipath fading by certain compatible rule merging.But the method is only applicable to the apparent in view situation of mulitpath, if when the mulitpath differentiation is not obvious, just is difficult to obtain reliable time delay and estimates.
In addition, carrier beat is to the time delay of DS-SS system and channel estimating and overall performance important all.Because the original signal to noise ratio of spread-spectrum signal is just lower, and carrier frequency missionary society causes and the loss of the correlation peak energy of receiving spread frequency signal and local spreading code makes correct identification correlation peak location very difficult.Even time delay is estimated correct, also can be due to the decline of received signal to noise ratio, and cause the deterioration of DS-SS receiver performance.Channel is also complicated due to the existence of carrier beat, and the estimation meeting of channel parameter is very difficult, and so, the design of respective equalizers and performance also can be affected.In addition, if there is strong Doppler effect, spread-spectrum code rate also can produce skew, and the spreading code time delay of this moment and channel estimating and Receiver Design just seem more complicated so.
Therefore, frequency difference, time delay and channel estimating are extremely important, are the key technologies in the DS-SS system.How to estimate frequency difference, time delay and channel parameter to fast and reliable, and how effectively to assess frequency difference to the impact of DS-SS systematic function, be all studying a question of meriting attention, and this application design and performance evaluation for the DS-SS system is significant.
Summary of the invention
The object of the invention is to for the deficiencies in the prior art, propose a kind of soft signal identification and spreading code catching (soft SR/CA) method with frequency difference estimation.Consider the DS-SS system when frequency difference in-less-than symbol speed, on the basis of one road SR/CA, by the height dual decision threshold rationally is set, make when judgment variables is between high low threshold, adjudicate again after can carrying out proofreading and correct frequency difference further combined with the frequency difference estimation method, so just can increase the probability that signal is identified in the situation that false alarm probability is substantially constant, and then can improve the detection probability of system.
Technical scheme of the present invention is:
A kind of identification of soft signal and spreading code catching method with frequency difference estimation, i.e. soft SR/CA, concrete steps are as follows:
Step 1: initialization---set height decision threshold λ H, λ L, chip period is T s, frequency difference section correction time T K, during frequency difference T=0 correction time, digital vco (NCO) is resetted;
Step 2: receiving terminal carries out down-converted with the signal s (t) that receives through NCO and obtains baseband signal r (t) signal,
Figure GSA00000127654400021
Re[wherein] be to get real part, f cBe the output frequency of NCO, baseband signal r (t) is passed through chip matched filter g R(t) output, obtain continuous signal
Figure GSA00000127654400023
Step 3: to the output of chip matched filter With spreading rate 1/T sSampling obtains sampled signal
Figure GSA00000127654400025
Then use local spreading code c *Mate and obtain a series of correlation e (h), can be expressed as:
e ( h ) = Σ i = 0 L - 1 c * ( i ) r ~ ( hL + i )
Wherein L is spreading code length;
Step 4: a series of correlation e (h) that will obtain through square, smoothly obtain z (h), wherein W is smoothing factor, z (h) is expressed as:
z ( h ) = Σ i = 0 W - 1 | e ( h - i ) | 2
Step 5: every T sTime width is selected L level and smooth result { z 0(h), z 1(h) ..., z L-1(h) } the maximum z in max(h), its position is as catching position , be expressed as:
z max ( h ) = Δ max { z 0 ( h ) , z 1 ( h ) , . . . , z L - 1 ( h ) }
δ ^ ( h ) | z δ ^ ( h ) = z max ( h )
Then with maximum z max(h) with the individual smoothly mean value of results of other L-1
Figure GSA00000127654400035
Ratio as judgment variables λ (h) output, be expressed as:
z ‾ ( h ) = Δ 1 L - 1 Σ l = 0 , l ≠ δ ^ ( h ) L - 1 z l ( h )
λ ( h ) = Δ z max ( h ) / z ‾ ( h )
Wherein
Figure GSA00000127654400038
Expression " being defined as ";
Step 6: with λ (h) and high low threshold λ H, λ LCompare,
(a) if. λ (h)>λ H, there is H in decision signal 1, namely receiving terminal detects signal, and this moment, soft SR/CA completed, output
Figure GSA00000127654400039
Be the position that captures, end of identification;
(b) if. λ (h)≤λ L, there is not H in decision signal 0, need to continue execution in step two;
(c) if. λ L<λ (h)≤λ H, execution in step seven;
Step 7: locking catching position
Figure GSA000001276544000310
If, frequency difference T≤T correction time K, beginning to carry out the frequency difference estimation method, NCO proofreaies and correct to digital vco, T=T+WLT s, execution in step two; If T>T K, execution in step.
In step 1 of the present invention, described setting height decision threshold λ H, λ LMethod refer to by presetting initial false alarm probability P FAWith final false alarm probability P FAOccurrence, be designated as
Figure GSA000001276544000311
, according to
Figure GSA000001276544000312
With Calculate respectively λ LAnd λ H, wherein
Figure GSA000001276544000314
Refer to the false alarm probability computing formula of soft SR/CA method.
In step 1 of the present invention, described frequency difference section correction time T KThe longest frequency difference that refers to allow is proofreaied and correct duration, surpasses this duration and thinks that frequency difference is proofreaied and correct and lost efficacy.
In step 4 of the present invention, described with correlation e (h) through square, smoothly be at first with e (h) delivery square, the then square value summation that W is continuous.
In step 6 of the present invention, described frequency difference estimation method is double filter frequency difference estimation method.Local spreading code c in step 3 of the present invention *Setting at receiving terminal, is tens to several kilobits.
Beneficial effect of the present invention:
The present invention is with soft signal identification and the spreading code catching method of frequency difference estimation, for the receiving baseband signal in certain sliding time section, at first by the chip matched filter, then sample with spreading rate, then use local spreading code to mate to obtain a series of correlations; By serial to parallel conversion, squared magnitude, level and smooth and calculating, obtain signal identification judgment variables and maximum value position subsequently, judgment variables and high low threshold are compared, and then determine that whether needing to proofread and correct frequency difference re-starts signal identification and spread spectrum seizure.
The present invention is directed to the drawback of single decision threshold strategy in existing signal identification and spreading code catching method, the DS-SS system of (frequency difference in-less-than symbol speed) when considering to have certain frequency difference proposes a kind of soft signal identification and spreading code catching method with frequency difference estimation.The present invention is on the basis of one road SR/CA, by the height dual decision threshold rationally is set, make when judgment variables is between high low threshold, can proofread and correct frequency difference by the frequency difference estimation method, then re-start signal identification and spreading code catching, so just can increase the probability that signal is identified in the situation that false alarm probability is substantially constant, and then can improve the detection probability of system.
Description of drawings
Fig. 1 is that the present invention is with the soft signal identification of frequency difference estimation and the block diagram of spreading code catching (soft SR/CA) method.
Fig. 2 is the concrete block diagram of signal identification and spreading code catching SR/CA.
Fig. 3 is the block diagram of double filter frequency difference estimation method.
Fig. 4 is frequency difference Δ fT under awgn channel sDetection probability and the average code sheet signal to noise ratio of=0,0.2,0.4 o'clock SR/CA, soft SR/CA method Graph of relation.
Fig. 5 is frequency difference Δ fT under the slow fading rayleigh channel of single footpath sDetection probability and the average code sheet signal to noise ratio of=0,0.2,0.4 o'clock SR/CA, soft SR/CA method
Figure GSA00000127654400051
Graph of relation.
Fig. 6 is detection probability and the frequency difference AfT of SR/CA under the awgn channel condition, soft SR/CA method sGraph of relation.
Fig. 7 is detection probability and the frequency difference Δ fT of SR/CA, soft SR/CA method under the slow fading rayleigh channel condition of single footpath sGraph of relation.
Fig. 8 is flow chart of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with drawings and Examples.
A kind of soft signal identification and spreading code catching (soft SR/CA) method with frequency difference estimation, concrete steps are as follows:
Step 1: initialization---set height decision threshold λ H, λ L, frequency difference section correction time T K, during frequency difference T=0 correction time, digital vco (NCO) is resetted, T sIt is chip period;
Step 2: receiving terminal carries out down-converted with the signal s (t) that receives through NCO and obtains baseband signal r (t) signal,
Figure GSA00000127654400052
Re[wherein] be to get real part, f cBe the output frequency of NCO, baseband signal r (t) is passed through chip matched filter g R(t) output obtains continuous signal
Figure GSA00000127654400053
Figure GSA00000127654400054
Step 3: to the output of chip matched filter
Figure GSA00000127654400055
With spreading rate 1/T sSampling obtains sampled signal
Figure GSA00000127654400056
Then use local spreading code c *Mate and obtain a series of correlation e (h), can be expressed as:
e ( h ) = Σ i = 0 L - 1 c * ( i ) r ~ ( hL + i )
Wherein L is spreading code length;
Step 4: a series of correlation e (h) that will obtain through square, smoothly obtain z (h), wherein W is smoothing factor, z (h) is expressed as:
z ( h ) = Σ i = 0 W - 1 | e ( h - i ) | 2
Step 5: every T sTime width is selected L level and smooth result { z 0(h), z 1(h) ..., z L-1(h) } the maximum z in max(h), its position is as catching position
Figure GSA00000127654400059
, be expressed as:
z max ( h ) = Δ max { z 0 ( h ) , z 1 ( h ) , . . . , z L - 1 ( h ) }
δ ^ ( h ) | z δ ^ ( h ) = z max ( h )
Then with maximum z max(h) with the individual smoothly mean value of results of other L-1
Figure GSA00000127654400062
Ratio as judgment variables λ (h) output, be expressed as:
z ‾ ( h ) = Δ 1 L - 1 Σ l = 0 , l ≠ δ ^ ( h ) L - 1 z l ( h )
λ ( h ) = Δ z max ( h ) / z ‾ ( h )
Wherein
Figure GSA00000127654400065
Expression " being defined as ".
Step 6: with λ (h) and high low threshold λ H, λ LCompare,
(a) if. λ (h)>λ H, there is H in decision signal 1, namely receiving terminal detects signal, and this moment, soft SR/CA completed, output
Figure GSA00000127654400066
Be the position that captures, end of identification;
(b) if. λ (h)≤λ L, there is not H in decision signal 0, need to continue execution in step two.
(c) if. λ L<λ (h)≤λ H, execution in step seven.
Step 7: locking catching position
Figure GSA00000127654400067
If, frequency difference T≤T correction time K, beginning to carry out the frequency difference estimation method, NCO proofreaies and correct to digital vco, T=T+WLT s, execution in step two; If T>T K, execution in step.
During concrete enforcement:
Embodiment one:
Take binary system DS-SS/MPSK system as example, provided with the soft signal identification of frequency difference estimation and the concrete computational process of spreading code catching method, the DS-SS system parameters is: several L=31, W=8.The flow process of the present embodiment as shown in Figure 8, concrete computational process is as follows:
1. according to normal false alarm probability CFAR criterion, double threshold is set
Suppose initial false alarm probability P FAWith final false alarm probability P FAOccurrence be
Figure GSA00000127654400068
, the definition auxiliary variable
Figure GSA00000127654400069
Height decision threshold λ L, λ HComputing formula be
P FA B ≅ 1 - F λ 0 H 0 ( λ L )
P FA E ≅ 1 - F λ 0 H 0 ( λ H )
The initial p of soft SR/CA method FAWith final P FABe respectively:
Figure GSA00000127654400071
Figure GSA00000127654400072
Dual thresholding is set to: λ L=2.5, λ H=3.2, λ 0H
2. the correlation after the calculating matched filtering
Suppose c *Represent local spreading code,
Figure GSA00000127654400073
Expression receives signal through the chip matched filtering and the output sampling signal after sampling, and carrying out filtered correlation output with local spreading code can be expressed as:
e ( h ) = Σ i = 0 L - 1 c * ( i ) r ~ ( hL + i )
3. construct the decision-aided variable
E (h) through square, the output of a W symbol period after smoothly is respectively:
z ( h ) = Σ i = 0 W - 1 | e ( h - i ) | 2
Define following auxiliary variable:
z max ( h ) = Δ max { z 0 ( h ) , z 1 ( h ) , . . . , z L - 1 ( h ) }
z ‾ ( h ) = Δ 1 L - 1 Σ l = 0 , l ≠ δ ^ ( h ) L - 1 z l ( h )
4. calculate catching position and judgment variables
δ ^ ( h ) | z δ ^ ( h ) = z max ( h )
λ ( h ) = Δ z max ( h ) / z ‾ ( h )
5. judgement
With λ (h) and high low threshold λ H, λ LCompare.
(1) if λ (h)>λ H, there is (H in decision signal 1), this moment, soft SR/CA completed.
(2) if λ (h)≤λ L, there is not (H in decision signal 0), need to continue to carry out soft SR/CA.
(3) if λ L<λ (h)≤λ H, activate frequency difference estimation and cor-rection loop, after proofreading and correct, frequency difference continues to carry out soft SR/CA.
For the ease of to comparing with the soft signal identification of frequency difference estimation and spreading code catching method and existing differential ference spiral method in the present invention, below in conjunction with the detection probability P of two kinds of methods in simulation result shows AWGN and rayleigh fading channel DWith false alarm probability P FASituation of change.
Fig. 4,5 respectively for awgn channel and single footpath slow fading rayleigh channel, has provided frequency difference Δ fT sDetection probability and the average code sheet signal to noise ratio of=0,0.2,0.4 o'clock SR/CA, soft SR/CA method
Figure GSA00000127654400081
Relation curve.As can be seen from the figure: at identical frequency difference Δ fT sWith average code sheet signal to noise ratio Under condition, the detection probability P of soft SR/CA method DWill be higher than the SR/CA method.When false dismissal probability be 0.001, when frequency difference is 0.4, soft SR/CA method has the performance gain of about 1dB.
Fig. 6,7 have provided respectively difference
Figure GSA00000127654400083
The detection probability of two methods and frequency difference Δ fT under condition sRelation curve.As can be seen from the figure: as frequency difference AfT sRaise or average chip signal to noise ratio
Figure GSA00000127654400084
During reduction, the detection probability P of SR/CA, soft SR/CA method DAll reduce, but the performance of soft SR/CA method still obviously is better than traditional SR/CA method.
In the above-described embodiments, although research work is for binary system DS-SS/MPSK system, but can be used for equally M-ary Orthogonal Code Spread-Spectrum System (NOrth-MDPSK), because before with M-ary orthogonal spread spectrum transmission data, fully can be by binary system spread spectrum mode, even do not transmit any data and realize SR/CA.
The part that the present invention does not relate to all prior art that maybe can adopt same as the prior art is realized.

Claims (5)

1. the identification of soft signal and spreading code catching method with a frequency difference estimation, i.e. soft SR/CA is characterized in that concrete steps are as follows:
Step 1:Initialization---set the height decision threshold
Figure 650858DEST_PATH_IMAGE001
, chip period is
Figure 37977DEST_PATH_IMAGE002
, frequency difference section correction time , frequency difference correction time
Figure 672275DEST_PATH_IMAGE004
The time, digital vco (NCO) is resetted;
Step 2:Receiving terminal is with the signal that receives
Figure 407013DEST_PATH_IMAGE005
Carry out down-converted through NCO and obtain baseband signal
Figure 891215DEST_PATH_IMAGE006
Signal,
Figure 500926DEST_PATH_IMAGE007
, wherein To get real part,
Figure 417246DEST_PATH_IMAGE009
The output frequency of NCO, with baseband signal
Figure 451062DEST_PATH_IMAGE006
By the chip matched filter Output obtains continuous signal ,
Figure 104394DEST_PATH_IMAGE012
Step 3:Output to the chip matched filter
Figure 124040DEST_PATH_IMAGE011
With spreading rate Sampling obtains sampled signal
Figure 296713DEST_PATH_IMAGE014
, then use local spreading code
Figure 544154DEST_PATH_IMAGE015
Mate and obtain a series of correlations
Figure 614878DEST_PATH_IMAGE016
, can be expressed as:
Figure 605968DEST_PATH_IMAGE017
Wherein
Figure 819650DEST_PATH_IMAGE018
Be spreading code length;
Step 4:With a series of correlations that obtain
Figure 237993DEST_PATH_IMAGE016
Through square, smoothly obtain , wherein
Figure 325214DEST_PATH_IMAGE020
Smoothing factor,
Figure 455719DEST_PATH_IMAGE019
Be expressed as:
Step 5:Every
Figure 90280DEST_PATH_IMAGE002
Time width is selected
Figure 485489DEST_PATH_IMAGE018
Individual level and smooth result In maximum
Figure 60007DEST_PATH_IMAGE023
, its position is as catching position
Figure 264723DEST_PATH_IMAGE024
, be expressed as:
Figure 463624DEST_PATH_IMAGE025
Figure DEST_PATH_IMAGE026
Then with maximum
Figure 326579DEST_PATH_IMAGE023
With other
Figure 523205DEST_PATH_IMAGE027
The mean value of individual level and smooth result
Figure 277534DEST_PATH_IMAGE028
Ratio as judgment variables
Figure 952229DEST_PATH_IMAGE029
Output is expressed as:
Figure 843142DEST_PATH_IMAGE031
Wherein
Figure 255406DEST_PATH_IMAGE032
Expression " being defined as ";
Step 6:Will
Figure 796109DEST_PATH_IMAGE029
With high low threshold Compare,
(a) if.
Figure 712430DEST_PATH_IMAGE033
, think that decision signal exists, and use The expression decision signal exists, and namely receiving terminal detects signal, and this moment, soft SR/CA completed, output
Figure 457849DEST_PATH_IMAGE024
Be the position that captures, end of identification;
(b) if.
Figure 893509DEST_PATH_IMAGE035
, think that decision signal does not exist, and use
Figure 835795DEST_PATH_IMAGE036
The expression decision signal does not exist, and needs to continue execution in step two;
(c) if.
Figure 52013DEST_PATH_IMAGE037
, execution in step seven;
Step 7:The locking catching position
Figure 872201DEST_PATH_IMAGE024
If, frequency difference correction time
Figure 224685DEST_PATH_IMAGE038
, beginning to carry out the frequency difference estimation method, NCO proofreaies and correct to digital vco,
Figure 104917DEST_PATH_IMAGE039
, execution in step two; If
Figure 480534DEST_PATH_IMAGE040
, execution in step;
In step 1, set the height decision threshold
Figure 901151DEST_PATH_IMAGE001
Method refer to by presetting initial false alarm probability
Figure 809939DEST_PATH_IMAGE041
With final false alarm probability
Figure 657810DEST_PATH_IMAGE041
Occurrence, be designated as
Figure 520723DEST_PATH_IMAGE042
,
Figure 682714DEST_PATH_IMAGE043
, according to
Figure 947474DEST_PATH_IMAGE044
With
Figure 231825DEST_PATH_IMAGE045
Calculate respectively
Figure 80570DEST_PATH_IMAGE046
With , wherein
Figure 962255DEST_PATH_IMAGE048
Refer to the false alarm probability computing formula of soft SR/CA method.
2. soft signal identification and spreading code catching method with frequency difference estimation according to claim 1, is characterized in that in step 1 described frequency difference section correction time
Figure 417507DEST_PATH_IMAGE003
The longest frequency difference that refers to allow is proofreaied and correct duration, surpasses this duration and thinks that frequency difference is proofreaied and correct and lost efficacy.
3. soft signal identification and spreading code catching method with frequency difference estimation according to claim 1, is characterized in that in step 4, and be described with correlation
Figure 255013DEST_PATH_IMAGE016
Through square, smoothly be at first will
Figure 821124DEST_PATH_IMAGE016
Delivery square, then will
Figure 794896DEST_PATH_IMAGE020
Individual continuous square value summation.
4. soft signal identification and spreading code catching method with frequency difference estimation according to claim 1, is characterized in that in step 7, and described frequency difference estimation method is double filter frequency difference estimation method.
5. soft signal identification and spreading code catching method with frequency difference estimation according to claim 1, is characterized in that local spreading code in step 3
Figure 421049DEST_PATH_IMAGE015
Setting at receiving terminal, is tens to several kilobits.
CN 201010178018 2010-05-20 2010-05-20 Soft signal identifying and spreading code catching method with frequency difference estimation Active CN101854189B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010178018 CN101854189B (en) 2010-05-20 2010-05-20 Soft signal identifying and spreading code catching method with frequency difference estimation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010178018 CN101854189B (en) 2010-05-20 2010-05-20 Soft signal identifying and spreading code catching method with frequency difference estimation

Publications (2)

Publication Number Publication Date
CN101854189A CN101854189A (en) 2010-10-06
CN101854189B true CN101854189B (en) 2013-05-08

Family

ID=42805486

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010178018 Active CN101854189B (en) 2010-05-20 2010-05-20 Soft signal identifying and spreading code catching method with frequency difference estimation

Country Status (1)

Country Link
CN (1) CN101854189B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106255136B (en) * 2016-09-13 2020-04-14 京信通信系统(中国)有限公司 DTX (discontinuous Transmission) judging method and device
CN107682042A (en) * 2017-09-30 2018-02-09 中国人民解放军国防科技大学 Direct sequence spread spectrum signal detection method suitable for impact noise

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1346191A (en) * 2000-09-29 2002-04-24 华为技术有限公司 Self-adaptive threshold pseudo-random code catching and identifying method
WO2004086662A1 (en) * 2003-03-25 2004-10-07 Industrial Research Limited Method and apparatus for improving the performance of pilot symbol assisted receivers in the presence of narrowband interference
US6873667B2 (en) * 2000-01-05 2005-03-29 Texas Instruments Incorporated Spread spectrum time tracking
CN1622482A (en) * 2003-11-27 2005-06-01 中国电子科技集团公司第三十研究所 A PN code capture method having decision threshold adaptive estimation function
CN1738212A (en) * 2004-08-18 2006-02-22 中兴通讯股份有限公司 Multi-path time-delay estimating method for direct spread-spectrum CDMA system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6873667B2 (en) * 2000-01-05 2005-03-29 Texas Instruments Incorporated Spread spectrum time tracking
CN1346191A (en) * 2000-09-29 2002-04-24 华为技术有限公司 Self-adaptive threshold pseudo-random code catching and identifying method
WO2004086662A1 (en) * 2003-03-25 2004-10-07 Industrial Research Limited Method and apparatus for improving the performance of pilot symbol assisted receivers in the presence of narrowband interference
CN1622482A (en) * 2003-11-27 2005-06-01 中国电子科技集团公司第三十研究所 A PN code capture method having decision threshold adaptive estimation function
CN1738212A (en) * 2004-08-18 2006-02-22 中兴通讯股份有限公司 Multi-path time-delay estimating method for direct spread-spectrum CDMA system

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Francesco Masulli等.DISI-TR-02-03 Soft Transition from Probabilistic to Possibilistic Fuzzy Clustering.《DISI-TR-02-03》.2002, *
张佳新等.TPC 非均匀迭代译码.《无线电通信技术》.2006,第32 卷(第4期), *
程云鹏等.单径慢衰落信道模型中带有频差的NOrth-MDPSK性能评估.《解放军理工大学学报(自然科学版)》.2005,第6 卷(第6 期), *
程云鹏等.相干DS-SS/MPSK系统中频差影响的简化评估.《电子与信息学报》.2006,第28卷(第2期), *

Also Published As

Publication number Publication date
CN101854189A (en) 2010-10-06

Similar Documents

Publication Publication Date Title
CN101951356B (en) Synchronization method of orthogonal frequency division multiplexing-ultra wideband (OFDM-UWB) system based on peak detection
CN102332933B (en) Short-term burst spread spectrum signal transmitting and receiving method
CN100530992C (en) Robust non-coherent receiver for pam-ppm signals
CN113225102B (en) Low signal-to-noise ratio code capturing method based on random continuous phase modulation signal
US20100272150A1 (en) Receiving apparatus and receiving method of impulse-radio uwb wireless system
CN103763062A (en) Aviation radio anti-interference broadband transmission method with variable gain and adaptive broadband
CN109818648B (en) Multi-sequence frequency hopping anti-interference communication method based on pseudorandom linear frequency modulation
CN104821837A (en) Frequency hopping anti-interference system for MF-TDMA system
CN105141340A (en) Full-digital receiving method of direct spread MSK signal
CN103675852B (en) A kind of TDDM-BOC signal double-side band four-way catching method
JP2004531985A (en) Output power control decision in spread spectrum communication systems.
CN101834632A (en) Method for capturing synchronization in frequency hopping communication
CN101436877B (en) Method for capturing multi-path interference resistant PN code self-adapting threshold
CN101854189B (en) Soft signal identifying and spreading code catching method with frequency difference estimation
CN103501187B (en) Interference cancellation-based short wave multi-path signal synchronization method
CN102185628A (en) Spread spectrum code phase capture equipment based on adaptive power accumulation and capture method thereof
CN101594167B (en) Method for integrating signal detection and frequency estimation in wireless network
CN105656511B (en) Differential correlation acquisition method suitable for environment with frequency offset and low signal-to-noise ratio
CN101237252B (en) A method for improving related performance based on self-adapted counteractor
CN105049079A (en) Spreading code synchronization method based on square correlation
Azou et al. Sea trial results of a chaotic direct-sequence spread spectrum underwater communication system
CN112600784B (en) Large frequency offset bit synchronization method based on quadratic differential correlation
CN101753204B (en) Spread spectrum acquisition method in multi-path dense environment
US8830919B2 (en) Channel estimation apparatus of mobile communication receiver and time tracking method for channel estimation
CN1642156A (en) Carrier wave catching device and method for large dynamic signal under condition of large frequency deviation

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