CN103905155A - Link self-adaptation transmission method based on signal to noise ratio statistical parameters - Google Patents

Abstract

The invention discloses a link self-adaptation transmission method based on signal to noise ratio statistical parameters. The method comprises the step of selecting the link self-adaptation transmission type, modulation mode and channel coding mode according to link self-adaptation algorithms determined based on the upper signal to noise ratio passing rate, the lower signal to noise ratio passing rate, the upper average signal to noise ratio duration and the lower average signal to noise ratio duration. According to the method, the link self-adaptation algorithms which adapt to one another are applied to different scenes, and the aim of improving the communication system performance is achieved. In addition, the link self-adaptation transmission method can be implemented on the basis of existing system channel estimation, new measurement is not required to be added to the system, cost and burdens of the system are not increased, meanwhile, the method has the good adaptability and flexibility, and therefore the optimum transmission performance can be obtained by changing a parameter design optimal algorithm.

Description

A kind of link self-adaption transmission method based on signal to noise ratio statistical parameter

Technical field

The invention belongs to mobile communication technology field, be specifically related to a kind of link self-adaption transmission method based on signal to noise ratio statistical parameter.

Background technology

Link adaptation techniques in radio communication is adjusted the concrete technology of signal transmission by following the tracks of the variation of radio channel state, in ensureing communication reliability, improve the validity of communication as far as possible.At present, link adaptation techniques comprises two types of rapid link self adaptation and slow speed link self adaptations, rapid link self adaptation is mainly followed the tracks of the instantaneous channel variation being caused by multipath fading, and slow speed link self adaptation is followed the tracks of the weighted average on large scale channel variation or multipath fading.

Owing to following the tracks of the difference of yardstick, quick and slow speed link self adaptation has feature separately.The adaptive advantage of rapid link is to tackle rapidly the fast-fading problem of channel, deficiency is must reliably and rapidly estimate channel condition information with the receiver of rapid link Adaptive matching, and by channel condition information rapid feedback to transmitter, therefore, with the comparison of slow speed link self adaptation, rapid link self adaptation has increased the complexity of system, has strengthened the cost of system.Slow speed link self adaptation has lower system complexity and feedback frequency, these aspects are better than quick self-adapted, but, slow speed link self adaptation can not successfully manage the instant of channel and change fast, for example, in the time that signal to noise ratio improves suddenly, due to can not be in time by good information feedback to transmitting terminal, cause taking lower order modulated and more inefficient chnnel coding, thereby fail to make full use of the efficiency of transmission of system resource raising system; And in the time that signal to noise ratio reduces suddenly, slow speed link self adaptation due to can not be in time by poor information feedback to transmitting terminal, cause taking higher-order modulation and greater efficiency chnnel coding, make error rate of system hydraulic performance decline.

Can find out from description above, fast and the adaptive advantage of slow speed link or deficiency be complementary, single quick or slow speed link adaptive technique all can not be brought into play good effect for the lifting of communication network overall performance, and both fusions can be learnt from other's strong points to offset one's weaknesses, be expected to promote on the whole communication quality.But, from the present Research of current science and industrial quarters, still do not find good means that two class link adaptation techniques are merged effectively.

Summary of the invention

Based on above-mentioned background, the present invention proposes a kind of link self-adaption transmission method based on signal to noise ratio statistical parameter, the method, by the link circuit self-adapting algorithm that application adapts in different scenes, reaches the target that improves communication system performance.

The outstanding feature of the present invention has been to define new signal to noise ratio statistical parameter, comprise under percent of pass in signal to noise ratio, signal to noise ratio duration and lower duration of average signal-to-noise ratio on percent of pass, average signal-to-noise ratio, according to these parameters, wireless scene is divided effectively, thereby determined the type that link circuit self-adapting transmits; Meanwhile, according to these signal to noise ratio statistical parameters, can also further determine that concrete transmission technology is as modulation, chnnel coding etc.

Advantage of the present invention is also, the link self-adaption transmission method proposing just can be realized on the basis of existing system channel estimating, do not require and in system, increase new measurement, therefore can not increase cost and burden to system, simultaneously, there is good adaptability and flexibility, can pass through to change parameter designing optimal algorithm, thereby obtain best transmission performance.

Set forth technical scheme of the present invention below.

A kind of link self-adaption transmission method based on signal to noise ratio statistical parameter, described method comprises: according to based on definite link circuit self-adapting algorithm of duration and lower duration of average signal-to-noise ratio on percent of pass, average signal-to-noise ratio under percent of pass, signal to noise ratio in signal to noise ratio, select the type of link circuit self-adapting transmission.Described method also comprises: determine modulation system and channel coding method according to duration and lower duration of average signal-to-noise ratio on percent of pass, average signal-to-noise ratio under percent of pass, signal to noise ratio in signal to noise ratio.

Percent of pass in described signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time upwards passes through adaptive threshold γ _inumber of times, percent of pass under described signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time passes through adaptive threshold γ downwards _inumber of times; Wherein: i=1,2 ... N+1; I, N are greater than 0 positive integer.

Described link circuit self-adapting algorithm comprises the steps:

(1) calculate percent of pass in signal to noise ratio according to the snr value of signal of communication

percent of pass under signal to noise ratio

duration on average signal-to-noise ratio

the lower duration of average signal-to-noise ratio

(2) for i=2 ... N+1, calculates percent of pass in signal to noise ratio

with percent of pass under signal to noise ratio

sum,

by relatively obtaining as i=K(2≤K≤N+1) time, Φ _ithere is maximum Φ _i=Φ _k;

(3) when satisfying condition: percent of pass in signal to noise ratio

be less than percent of pass thresholding at a slow speed

percent of pass under signal to noise ratio

be less than lower percent of pass thresholding at a slow speed

duration on average signal-to-noise ratio

be less than duration thresholding at a slow speed

the lower duration of average signal-to-noise ratio

be less than thresholding at a slow speed of lower duration time, adopt slow speed link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(4) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration

when satisfying condition: Φ _kbe less than percent of pass thresholding at a slow speed

and the signal to noise ratio duration

be greater than duration thresholding at a slow speed time, adopt slow speed link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(5) when satisfying condition: percent of pass in signal to noise ratio

be greater than the quick thresholding of percent of pass

percent of pass under signal to noise ratio

be greater than the quick thresholding of lower percent of pass

duration on average signal-to-noise ratio be greater than quick thresholding of duration the lower duration of average signal-to-noise ratio

be greater than quick thresholding of lower duration time, adopt rapid link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(6) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration

when satisfying condition: Φ _kbe greater than the quick thresholding of percent of pass

and the signal to noise ratio duration

be less than quick thresholding of duration

time, adopt rapid link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(7) when satisfying condition: formula

$\mathrm{MIN}\{w_l^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_l^{\left(u\right)}\left({\stackrel{\‾}{T}}_K^u\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_n^{\left(u\right)}{\stackrel{\‾}{T}}_K^u)\left\}\right\}$ With $\mathrm{MIN}\{w_l^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_l^{\left(d\right)}\left({\stackrel{\‾}{T}}_K^d\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_n^{\left(d\right)}{\stackrel{\‾}{T}}_K^d)\left\}\right\}$ While establishment, adopt slow speed link self adaptation simultaneously; In the time not meeting above-mentioned condition, adopt rapid link self adaptation.

Embodiment

(1) definition of signal to noise ratio statistical parameter

Adaptive communication system adopts N kind qam mode, QAM number of modulation levels M ∈ 4 ..., 4 ⁿ, γ _i(i=1,2 ... N+1) be adaptive threshold, i, N are greater than 0 positive integer.

A. in the time of mobile communication system transmitting continuous pilot (or reference) signal, define:

(1) work as i=1,2 ... when N+1, percent of pass in signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time upwards passes through adaptive threshold γ _inumber of times, percent of pass under signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time passes through adaptive threshold γ downwards _inumber of times.

(2) work as i=1,2 ... when N, if duration on average signal-to-noise ratio

for the signal to noise ratio curve of signal of communication in Measuring Time upwards single by adaptive threshold γ _iand in this process, continue to be greater than adaptive threshold γ _iand be less than or equal to adaptive threshold γ _i+1the mean value of time; If

duration on average signal-to-noise ratio

for the signal to noise ratio curve of signal of communication in Measuring Time continues to be greater than adaptive threshold γ _iand be less than or equal to adaptive threshold γ _i+1the mean value of time.

In the time of i=N+1, if

duration on average signal-to-noise ratio

for the signal to noise ratio curve of signal of communication in Measuring Time upwards single by adaptive threshold γ _iand in this process, continue to be greater than adaptive threshold γ _ithe mean value of time; If duration on average signal-to-noise ratio

for the signal to noise ratio of signal of communication in Measuring Time continues to be greater than adaptive threshold γ _ithe mean value of time.

Work as i=2 ... when N+1, if the lower duration of average signal-to-noise ratio

for the downward single of signal to noise ratio curve of signal of communication in Measuring Time passes through adaptive threshold γ _iand in this process, continue to be less than adaptive threshold γ _iand be more than or equal to adaptive threshold γ _i-1the mean value of time; If

the lower duration of average signal-to-noise ratio

for the signal to noise ratio of signal of communication in Measuring Time continues to be less than adaptive threshold γ _iand be more than or equal to adaptive threshold γ _i-1the mean value of time.

In the time of i=1, if

the lower duration of average signal-to-noise ratio for the downward single of signal to noise ratio curve of signal of communication in Measuring Time passes through adaptive threshold γ _iand in this process, continue to be less than adaptive threshold γ _ithe mean value of time; If

the lower duration of average signal-to-noise ratio

for the signal to noise ratio of signal of communication in Measuring Time continues to be less than adaptive threshold γ _ithe mean value of time.

Here, " upwards single is by adaptive threshold γ _i" refer to signal of communication signal to noise ratio curve once upwards by adaptive threshold γ _iafter downwards by the process between this thresholding; " single is by adaptive threshold γ downwards _i" refer to signal of communication signal to noise ratio curve once downwards by adaptive threshold γ _iafter more upwards by the process between this thresholding.

B. in the time of mobile communication system transmitting scattered pilot (or reference) signal, define:

(1) work as i=1,2 ... when N+1, percent of pass in signal to noise ratio

for the upwards first passage adaptive threshold γ of discrete signal to noise ratio of signal of communication in unit Measuring Time _inumber of times, percent of pass under signal to noise ratio

for the downward first passage adaptive threshold of the discrete signal to noise ratio γ of signal of communication in unit Measuring Time _inumber of times.

(2) work as i=1,2 ... when N, if

duration on average signal-to-noise ratio

for the discrete signal to noise ratio of signal of communication in Measuring Time upwards single by adaptive threshold γ _iand in this process, continue to be greater than adaptive threshold γ _iand be less than or equal to adaptive threshold γ _i+1the mean value of time; If

duration on average signal-to-noise ratio

for the discrete signal to noise ratio of signal of communication in Measuring Time continues to be greater than adaptive threshold γ _iand be less than or equal to adaptive threshold γ _i+1the mean value of time.

In the time of i=N+1, if

duration on average signal-to-noise ratio

for the discrete signal to noise ratio of signal of communication in Measuring Time upwards single by adaptive threshold γ _iand in this process, continue to be greater than adaptive threshold γ _ithe mean value of time; If

duration on average signal-to-noise ratio

for the discrete signal to noise ratio of signal of communication in Measuring Time continues to be greater than adaptive threshold γ _ithe mean value of time.

Work as i=2 ... when N+1, if the lower duration of average signal-to-noise ratio

for the downward single of discrete signal to noise ratio of signal of communication in Measuring Time passes through adaptive threshold γ _iand in this process, continue to be less than adaptive threshold γ _iand be more than or equal to adaptive threshold γ _i-1the mean value of time; If

the lower duration of average signal-to-noise ratio

for the discrete signal to noise ratio of signal of communication in Measuring Time continues to be less than adaptive threshold γ _iand be more than or equal to adaptive threshold γ _i-1the mean value of time.

In the time of i=1, if

the lower duration of average signal-to-noise ratio

for the downward single of discrete signal to noise ratio of signal of communication in Measuring Time passes through adaptive threshold γ _iand in this process, continue to be less than adaptive threshold γ _ithe mean value of time; If

the lower duration of average signal-to-noise ratio for the discrete signal to noise ratio of signal of communication in Measuring Time continues to be less than adaptive threshold γ _ithe mean value of time.

Here, " upwards single is by adaptive threshold γ _i" refer to signal of communication discrete signal to noise ratio first in adaptive threshold γ _ion and next first under this thresholding between process; " single is by adaptive threshold γ downwards _i" refer to signal of communication discrete signal to noise ratio first in adaptive threshold γ _iunder and next first on this thresholding between process." first " implication refers to the not the same side in adaptive threshold of discrete signal to noise ratio in current discrete signal to noise ratio and last measurement moment.

(2) the link circuit self-adapting transmission algorithm based on signal to noise ratio statistical parameter

Effect of the present invention is the link circuit self-adapting type that accurate judgement should adopt, in the time being judged to employing rapid link self adaptation, and transmitting Ψ ₁after frame data frame, carry out again self adaptation type judgement next time, in the time being judged to employing slow speed link self adaptation, transmitting Ψ ₂(> Ψ ₁) carry out again self adaptation type judgement next time after frame data frame; Meanwhile, the present invention is also for adjudicating the modulation system that should adopt.

The step of described link circuit self-adapting transmission algorithm is as follows:

(1) according to measuring and estimating that the snr value of the signal of communication obtaining calculates percent of pass in signal to noise ratio

percent of pass under signal to noise ratio duration on average signal-to-noise ratio the lower duration of average signal-to-noise ratio

(2) for i=2 ... N+1, calculates percent of pass in signal to noise ratio

with percent of pass under signal to noise ratio

sum,

by relatively obtaining as i=K(2≤K≤N+1) time, Φ _ithere is maximum Φ _i=Φ _k.

(3) determine self adaptation type, step is as follows:

(i) when percent of pass in signal to noise ratio

be less than percent of pass thresholding at a slow speed

percent of pass under signal to noise ratio

be less than lower percent of pass thresholding at a slow speed

duration on average signal-to-noise ratio

be less than duration thresholding at a slow speed

the lower duration of average signal-to-noise ratio be less than thresholding at a slow speed of lower duration

time, adopt slow speed link self adaptation; Otherwise, go to step (ii).

(ii) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration

work as Φ _kbe less than percent of pass thresholding at a slow speed

and the signal to noise ratio duration be greater than duration thresholding at a slow speed

time, adopt slow speed link self adaptation; Otherwise, go to step (iii).

(iii) when percent of pass in signal to noise ratio

be greater than the quick thresholding of percent of pass

percent of pass under signal to noise ratio

be greater than the quick thresholding of lower percent of pass

duration on average signal-to-noise ratio

be greater than quick thresholding of duration

the lower duration of average signal-to-noise ratio

be greater than quick thresholding of lower duration

time, adopt rapid link self adaptation; Otherwise, go to step (iv).

(iv) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration work as Φ _kbe greater than the quick thresholding of percent of pass

and the signal to noise ratio duration

be less than quick thresholding of duration time, adopt rapid link self adaptation; Otherwise, go to step (v).

(v) order $w_h^{\left(u\right)}\left(x\right)=1-{\mathrm{\δe}}^{-\mathrm{\αx}},w_1^{\left(u\right)}\left(x\right)={\mathrm{\δe}}^{-\mathrm{\αx}},w_h^{\left(d\right)}\left(x\right)=1-{\mathrm{\λe}}^{-\mathrm{\βx}},w_1^{\left(d\right)}\left(x\right)={\mathrm{\λe}}^{-\mathrm{\βx}},$ $v_h^{\left(u\right)}\left(x\right)=1-{\mathrm{\ρe}}^{-\mathrm{\τx}},v_1^{\left(u\right)}\left(x\right)={\mathrm{\ρe}}^{-\mathrm{\τx}},v_h^{\left(d\right)}\left(x\right)=1-{\mathrm{\σe}}^{-\mathrm{\θx}},v_1^{\left(d\right)}\left(x\right)={\mathrm{\σe}}^{-\mathrm{\θx}},$ α, β, τ, θ are greater than 0 real number, and δ, λ, ρ, σ are greater than 0 and be less than or equal to 1 real number, and Ξ is set { (h, h), (h, l), (l, h), (l, l) },

be respectively frequent weighting function and the sparse weighting function of percent of pass in signal to noise ratio,

be respectively frequent weighting function and the sparse weighting function of percent of pass under signal to noise ratio,

weighting function and weighting function in short-term while being respectively duration on average signal-to-noise ratio long,

weighting function and weighting function in short-term while being respectively lower duration of average signal-to-noise ratio long.Work as formula

$\mathrm{MIN}\{w_l^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_l^{\left(u\right)}\left({\stackrel{\‾}{T}}_K^u\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_n^{\left(u\right)}{\stackrel{\‾}{T}}_K^u)\left\}\right\}$ With

$\mathrm{MIN}\{w_l^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_l^{\left(d\right)}\left({\stackrel{\‾}{T}}_K^d\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_n^{\left(d\right)}{\stackrel{\‾}{T}}_K^d)\left\}\right\}$ While establishment, adopt slow speed link self adaptation, wherein, MIN{}, MAX{} represent respectively to get element minimum in bracket and maximum element simultaneously.Otherwise, go to step (vi).

(vi) adopt rapid link self adaptation.

In above algorithm, in the time that judgement is slow speed link self adaptation, adopt 4 ^k-1level QAM modulation (is QAM-4 ^k-1modulation), in the time that judgement is rapid link self adaptation, both can adopt 4 ^k-1level QAM modulation, also can determine modulation system according to the existing algorithm of industry.

Below by design parameter description made for the present invention, can obtain the present invention to understand better.Adaptive communication system adopts N (=4) to plant qam mode, QAM number of modulation levels M ∈ { 4,16,64,256}, adaptive threshold γ ₁=5dB, γ ₂=15dB, γ ₃=25dB, γ ₄=35dB, γ ₅=45dB.In the time being judged to employing rapid link self adaptation, transmitting Ψ ₁after=2 frame data frames, carry out again self adaptation type judgement next time, in the time being judged to employing slow speed link self adaptation, transmitting Ψ ₂after=8 frame data frames, carry out again self adaptation type judgement next time.Arrange ${\mathrm{\Γ}}_i^{u-s}={\mathrm{\Γ}}_i^{d-s}=2,{\mathrm{\Φ}}_K^{s-s}=4,{\mathrm{\Δ}}_i^{u-s}={\mathrm{\Δ}}_i^{d-s}=1.5\mathrm{ms},{\mathrm{\Γ}}_i^{u-f}={\mathrm{\Γ}}_i^{d-f}=4,{\mathrm{\Φ}}_i^{s-f}=8,{\mathrm{\Δ}}_i^{u-f}={\mathrm{\Δ}}_i^{d-f}=3\mathrm{ms},$ i＝1,2,3,4,5；δ＝λ＝ρ＝σ＝1，α＝β＝0.2，τ＝θ＝0.5。

At t=t ₁moment:

(1) according to measuring and estimating that the snr value of the signal of communication obtaining calculates:

Percent of pass in signal to noise ratio ${\mathrm{\Φ}}_1^u=0.2,{\mathrm{\Φ}}_2^u=1.5,{\mathrm{\Φ}}_3^u=1.2,{\mathrm{\Φ}}_4^u=0.3,{\mathrm{\Φ}}_5^u=0.1;$

Percent of pass under signal to noise ratio ${\mathrm{\Φ}}_1^d=0.2,{\mathrm{\Φ}}_2^d=1.5,{\mathrm{\Φ}}_3^d=1.2,{\mathrm{\Φ}}_4^d=0.3,{\mathrm{\Φ}}_5^d=0.1;$

Duration on average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^u=0.3\mathrm{ms},{\stackrel{\‾}{T}}_2^u=0.6\mathrm{ms},{\stackrel{\‾}{T}}_3^u=0.8\mathrm{ms},{\stackrel{\‾}{T}}_4^u=0.2\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^u=0.09\mathrm{ms};$

The lower duration of average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^u=0.1\mathrm{ms},{\stackrel{\‾}{T}}_2^d=0.6\mathrm{ms},{\stackrel{\‾}{T}}_3^d=0.9\mathrm{ms},{\stackrel{\‾}{T}}_4^d=0.5\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^u=0.03\mathrm{ms}.$

(2) for i=2 ... N+1, calculates

obtain Φ ₂=1.7, Φ ₃=2.7, Φ ₄=1.5, Φ ₅=0.4; By relatively obtaining when the i=K=3, Φ _ithere is maximum Φ _i=Φ ₃.

(3) determine link circuit self-adapting type.Due to percent of pass in signal to noise ratio

be less than percent of pass thresholding at a slow speed

and percent of pass under signal to noise ratio

be less than lower percent of pass thresholding at a slow speed

and the duration on average signal-to-noise ratio be less than duration thresholding at a slow speed and the lower duration of average signal-to-noise ratio

be less than thresholding at a slow speed of lower duration

therefore, adopt slow speed link self adaptation, and adopt

level QAM modulation (being QAM-16 modulation).

At t=t ₂moment:

(1) according to measuring and estimating that the snr value of the signal of communication obtaining calculates:

Percent of pass in signal to noise ratio ${\mathrm{\Φ}}_1^u=0.2,{\mathrm{\Φ}}_2^u=1.8,{\mathrm{\Φ}}_3^u=2.3,{\mathrm{\Φ}}_4^u=0.3,{\mathrm{\Φ}}_5^u=0.1;$

Percent of pass under signal to noise ratio ${\mathrm{\Φ}}_1^d=0.2,{\mathrm{\Φ}}_2^d=1.8,{\mathrm{\Φ}}_3^d=2.3,{\mathrm{\Φ}}_4^d=0.3,{\mathrm{\Φ}}_5^d=0.1;$

Duration on average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^u=0.2\mathrm{ms},{\stackrel{\‾}{T}}_2^u=0.5\mathrm{ms},{\stackrel{\‾}{T}}_3^u=0.8\mathrm{ms},{\stackrel{\‾}{T}}_4^u=0.3\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^u=0.1\mathrm{ms};$

The lower duration of average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^u=0.15\mathrm{ms},{\stackrel{\‾}{T}}_2^d=0.36\mathrm{ms},{\stackrel{\‾}{T}}_3^d=0.9\mathrm{ms},{\stackrel{\‾}{T}}_4^d=0.56\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^u=0.32\mathrm{ms}.$

(2) for i=2 ... N+1, calculates ${\mathrm{\Φ}}_i={\mathrm{\Φ}}_i^u+{\mathrm{\Φ}}_{i+1}^d,$ Obtain ${\mathrm{\Φ}}_2=2,{\mathrm{\Φ}}_3=4.1,{\mathrm{\Φ}}_4=2.6,$

by relatively obtaining when the i=K=3, Φ _ithere is maximum Φ _i=Φ ₃.

(3) determine link circuit self-adapting type:

(i) percent of pass in signal to noise ratio

be greater than percent of pass thresholding at a slow speed go to step (ii).

(ii) signal to noise ratio percent of pass Φ ₃=4.1 are greater than percent of pass thresholding at a slow speed

go to step (iii).

(iii) percent of pass in signal to noise ratio

be less than the quick thresholding of percent of pass

go to step (iv).

(iv) signal to noise ratio percent of pass Φ ₃=4.1 are less than the quick thresholding of percent of pass

go to step (v).

(v) calculate:

$w_h^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right)=1-e^{-0.2\×2.3}\≈0.37,w_1^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right)=e^{-0.2\×2.3}\≈0.63,w_h^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right)=1-e^{-0.2\×1.8}\≈0.31,$

$w_1^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right)=e^{-0.2\×1.8}\≈0.69;$

$v_h^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)=1-e^{-0.5\×0.8}\≈0.33,v_1^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)=e^{-0.5\×0.8}\≈0.67,v_h^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)=1-e^{-0.5\×0.36}\≈0.16,$

$v_1^{\left(d\right)}\left({\stackrel{\‾}{\mathrm{\Φ}}}_2^d\right)=e^{-0.5\×0.36}=0.84;$

So:

$\mathrm{MIN}\{w_h^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_h^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)\}=0.33;$

$\mathrm{MIN}\{w_h^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_h^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)\}=0.37;$

$\mathrm{MIN}\{w_1^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_h^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)\}=0.33;$

$\mathrm{MIN}\{w_1^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_h^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)\}=0.63;$

$\mathrm{MIN}\{w_h^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_h^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)\}=0.16;$

$\mathrm{MIN}\{w_h^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_1^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)\}=0.31;$

$\mathrm{MIN}\{w_1^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_h^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)\}=0.16;$

$\mathrm{MIN}\{w_1^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_1^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)\}=0.69;$

Due to formula: $\mathrm{MIN}\{w_1^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_l^{\left(u\right)}\left({\stackrel{\‾}{T}}_3^u\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(u\right)}\left({\mathrm{\Φ}}_3^u\right),v_n^{\left(u\right)}{\stackrel{\‾}{T}}_3^u)\left\}\right\}$ With $\mathrm{MIN}\{w_1^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_1^{\left(d\right)}\left({\stackrel{\‾}{T}}_2^d\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(d\right)}\left({\mathrm{\Φ}}_2^d\right),v_n^{\left(d\right)}{\stackrel{\‾}{T}}_2^d)\left\}\right\}$ Set up simultaneously, therefore, adopt slow speed link self adaptation, and adopt 4 ^3-1=16 grades of QAM modulation (being QAM-16 modulation).

At t=t ₃moment:

(1) according to measuring and estimating that the snr value of the signal of communication obtaining calculates:

Percent of pass in signal to noise ratio ${\mathrm{\Φ}}_1^u=1.8,{\mathrm{\Φ}}_2^u=4.1,{\mathrm{\Φ}}_3^u=5.3,{\mathrm{\Φ}}_4^u=2.3,{\mathrm{\Φ}}_5^u=1.1;$

Percent of pass under signal to noise ratio ${\mathrm{\Φ}}_1^d=1.8,{\mathrm{\Φ}}_2^d=4.1,{\mathrm{\Φ}}_3^d=5.3,{\mathrm{\Φ}}_4^d=2.3,{\mathrm{\Φ}}_5^d=1.1;$

Duration on average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^u=0.6\mathrm{ms},{\stackrel{\‾}{T}}_2^u=1.3\mathrm{ms},{\stackrel{\‾}{T}}_3^u=3.8\mathrm{ms},{\stackrel{\‾}{T}}_4^u==2.1\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^u=1.2\mathrm{ms};$

The lower duration of average signal-to-noise ratio ${\stackrel{\‾}{T}}_1^d=1.3\mathrm{ms},{\stackrel{\‾}{T}}_2^d=3.2\mathrm{ms},{\stackrel{\‾}{T}}_3^d=2.1\mathrm{ms},{\stackrel{\‾}{T}}_4^d=1.1\mathrm{ms},$ ${\stackrel{\‾}{T}}_5^d=0.7\mathrm{ms}.$

(2) for i=2 ... N+1, calculates

obtain Φ ₂=4.9, Φ ₃=9.4, Φ ₄=7.6, Φ ₅=3.4; By relatively obtaining when the i=K=3, Φ _ithere is maximum Φ _i=Φ ₃.

(3) determine link circuit self-adapting type.Due to percent of pass in signal to noise ratio

be greater than the quick thresholding of percent of pass

and percent of pass under signal to noise ratio be greater than the quick thresholding of lower percent of pass

and the duration on average signal-to-noise ratio

be greater than quick thresholding of duration

and the lower duration of average signal-to-noise ratio

be greater than quick thresholding of lower duration

therefore, adopt rapid link self adaptation, both can adopt 4 ^3-1=16 grades of QAM modulation, also can determine modulation system according to the existing algorithm of industry.

Claims (5)

1. the link self-adaption transmission method based on signal to noise ratio statistical parameter, described method comprises:

According to based on definite link circuit self-adapting algorithm of duration and lower duration of average signal-to-noise ratio on percent of pass, average signal-to-noise ratio under percent of pass, signal to noise ratio in signal to noise ratio, select the type of link circuit self-adapting transmission.

2. method according to claim 1, also comprises: determine modulation system and channel coding method according to duration and lower duration of average signal-to-noise ratio on percent of pass, average signal-to-noise ratio under percent of pass, signal to noise ratio in signal to noise ratio.

3. method according to claim 2, percent of pass in wherein said signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time upwards passes through adaptive threshold γ _inumber of times, percent of pass under described signal to noise ratio

for the signal to noise ratio curve of signal of communication in unit Measuring Time passes through adaptive threshold γ downwards _inumber of times; Wherein: i=1,2 ... N+1; I, N are greater than 0 positive integer.

4. method according to claim 3, wherein said link circuit self-adapting algorithm comprises the steps:

(1) calculate percent of pass in signal to noise ratio according to the snr value of signal of communication

percent of pass under signal to noise ratio

duration on average signal-to-noise ratio the lower duration of average signal-to-noise ratio

(2) for i=2 ... N+1, calculates percent of pass in signal to noise ratio with percent of pass under signal to noise ratio

sum,

by relatively obtaining as i=K(2≤K≤N+1) time, Φ _ithere is maximum Φ _i=Φ _k;

(3) when satisfying condition: percent of pass in signal to noise ratio

be less than percent of pass thresholding at a slow speed

percent of pass under signal to noise ratio

be less than lower percent of pass thresholding at a slow speed

duration on average signal-to-noise ratio

be less than duration thresholding at a slow speed the lower duration of average signal-to-noise ratio

be less than thresholding at a slow speed of lower duration

time, adopt slow speed link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(4) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration

when satisfying condition: Φ _kbe less than percent of pass thresholding at a slow speed

and the signal to noise ratio duration

be greater than duration thresholding at a slow speed

time, adopt slow speed link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(5) when satisfying condition: percent of pass in signal to noise ratio

be greater than the quick thresholding of percent of pass

percent of pass under signal to noise ratio

be greater than the quick thresholding of lower percent of pass

duration on average signal-to-noise ratio

be greater than quick thresholding of duration

the lower duration of average signal-to-noise ratio

be greater than quick thresholding of lower duration

time, adopt rapid link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(6) calculate i=K(2≤K≤N+1) time the signal to noise ratio duration when satisfying condition: Φ _kbe greater than the quick thresholding of percent of pass and the signal to noise ratio duration

be less than quick thresholding of duration

time, adopt rapid link self adaptation; In the time not meeting above-mentioned condition, turn next step;

(7) when satisfying condition: formula

$\mathrm{MIN}\{w_l^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_l^{\left(u\right)}\left({\stackrel{\‾}{T}}_K^u\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(u\right)}\left({\mathrm{\Φ}}_K^u\right),v_n^{\left(u\right)}{\stackrel{\‾}{T}}_K^u)\left\}\right\}$ With $\mathrm{MIN}\{w_l^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_l^{\left(d\right)}\left({\stackrel{\‾}{T}}_K^d\right)\}\≥\underset{\underset{(m,n)\≠(l,l)}{(m,n)\∈\mathrm{\Ξ}}}{\mathrm{MAX}}\left\{\mathrm{MIN}\right\{w_m^{\left(d\right)}\left({\mathrm{\Φ}}_K^d\right),v_n^{\left(d\right)}{\stackrel{\‾}{T}}_K^d)\left\}\right\}$ While establishment, adopt slow speed link self adaptation simultaneously; In the time not meeting above-mentioned condition, adopt rapid link self adaptation.

5. method according to claim 4, also comprises: in the time adopting slow speed link self adaptation, adopt 4 ^k-1level QAM modulation.