CN101534158B - Method and device for obtaining ultra-wideband channel model of discrete time - Google Patents

Abstract

The embodiment of the invention discloses a method and a device for obtaining ultra-wideband channel model of discrete time; wherein the method comprises the following steps of obtaining the discrete time interval of cluster and the discrete time interval of the pathway in a signal, obtaining the discrete time model of the cluster amplitude and pathway amplitude according to the discrete time interval of the cluster and the discrete time interval of the pathway, obtaining shadow effect multiplicative factor indicating the effect of the shadow effect on the amplitudes, obtaining the random variables of the signal amplitudes within the discrete time interval of the cluster and the discrete time interval of the pathway according to the discrete time model of the cluster amplitude and the pathway amplitude and the shadow effect multiplicative factor, and taking the random variables as the ultra-wideband channel mode of the discrete time. The embodiment of the invention realizes that the ultra-wideband channel model of the discrete time is obtained, has the advantages of simple calculation, convenience and practicability, and can directly calculates the general formula for relative channel characteristic, thus facilitating simulation and calculating the channel characteristic.

Description

The acquisition methods of the ultra-wideband channel model of discrete time and device

Technical field

The present invention relates to communication technical field, relate in particular to a kind of acquisition methods and device of ultra-wideband channel model of discrete time.

Background technology

UWB (Ultra Wideband, the ultra broadband) communication technology is a kind of novel wireless communication technology, all has potential at aspects such as high-speed indoor wireless communication, target localization, range finding and WLANs and application widely.For channel capacity and the fair performance of assessing the motion of different UWB communication system of calculating the UWB channel, setting up a generally acknowledged channel model accurately becomes the thing that at first must accomplish in the UWB standardisation process.According to a large amount of UWB channel measurement data,, a standard channel model has been proposed at present to the typical environment of four kinds of UWB indoor communications.This model is a continuous time model, and when the needs discretization model, usual way is that continuous model is carried out time sample, carries out discretization and handles.

The inventor finds that there is following problem at least in prior art in realizing process of the present invention:

This method computation complexity height that obtains discretization model, directly easy inadequately, can't extrapolate the general formula of relevant channel characteristics according to its model.

Summary of the invention

Embodiments of the invention provide a kind of acquisition methods and device of ultra-wideband channel model of discrete time, to obtain the ultra-wideband channel model of more directly easy discrete time.

For achieving the above object, embodiments of the invention provide a kind of acquisition methods of ultra-wideband channel model of discrete time, may further comprise the steps:

The discrete time of obtaining in the signal bunch at interval with the discrete time in footpath at interval;

According to said bunch discrete time at interval with the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath;

Obtain shadow effect the shadow effect of the influence of said amplitude is taken advantage of sex factor;

According to the discrete time model of amplitude of said bunch amplitude with the footpath, and shadow effect takes advantage of sex factor, the discrete time of obtaining bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

The embodiment of this aspect also provides a kind of deriving means of ultra-wideband channel model of discrete time, comprising:

Time interval acquiring unit, the discrete time that is used for obtaining signal bunch at interval with the discrete time in footpath at interval;

The amplitude acquiring unit, be used for according to said time interval acquiring unit obtain bunch discrete time at interval with the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath;

Take advantage of the sex factor acquiring unit, be used to obtain shadow effect the shadow effect of the influence of said amplitude is taken advantage of sex factor;

The channel model acquiring unit; Be used for according to said amplitude acquiring unit obtain bunch amplitude and the discrete time model of amplitude in footpath; And the shadow effect of taking advantage of the sex factor acquiring unit to obtain is taken advantage of sex factor; Obtain that said time interval acquiring unit obtains bunch discrete time at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

Compared with prior art, embodiments of the invention have the following advantages:

The acquisition methods of the ultra-wideband channel model of the discrete time that the embodiment of the invention provides and device; Directly utilize the discretization signal bunch with the obtaining of the ultra-wideband channel model of having realized discrete time the time of advent at interval in footpath; Have and calculate simple, convenient and practical advantage; And can directly extrapolate the general formula of relevant channel characteristics according to embodiments of the invention, be convenient to emulation and calculating channel characteristic.

Description of drawings

Fig. 1 is the flow chart of the ultra-wideband channel model acquisition methods of discrete time in the embodiments of the invention;

Fig. 2 is when being the basis with the parameter of UWB continuous channel model in the embodiments of the invention, the flow chart of the ultra-wideband channel model acquisition methods of discrete time;

Fig. 3 is the flow chart that makes up a model instance of discrete time model in the embodiments of the invention;

Fig. 4 is the structural representation of the ultra-wideband channel model deriving means of discrete time in the embodiments of the invention.

Embodiment

Embodiments of the invention provide a kind of acquisition methods of ultra-wideband channel model of discrete time, and are as shown in Figure 1, may further comprise the steps:

Step s101, the discrete time obtained in the signal bunch at interval and the discrete time in footpath at interval.

Step s102, according to bunch discrete time at interval and the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath.

Step s103, obtain shadow effect the shadow effect of the influence of amplitude is taken advantage of sex factor.

Step s104, according to bunch amplitude and the discrete time model of amplitude in footpath; And shadow effect is taken advantage of sex factor; The discrete time of obtaining bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

Among the step s101 in the said method, the discrete time of supposing bunch is Δ T not at interval, and the discrete time in footpath is spaced apart Δ t.The discrete time interval delta T of then obtaining in the signal bunch and the standard of the discrete time interval of delta t in footpath are: make the probability that in the time interval of Δ T, arrives 1 bunch of signal be the specific factor of the probability that arrives 2 bunches of signals, make the probability that in the time interval of Δ t, arrives 1 the footpath signal specific factor for the probability that arrives 2 footpath signals.Wherein, the probability P that arrives k time bunch of signal or footpath signal in blanking time in the t meets Poisson distribution, promptly $P[N(s+t)-N\left(s\right)=k]=\frac{{\left(\mathrm{\λ\; t}\right)}^t}{k!}{e}^{-\mathrm{\λ\; t}};$ Wherein: λ is a distributed constant, and its value is obtained by existing continuous ultra-wideband channel model; N (s) is bunch signal of arrival in the time s or the number of times of footpath signal.

Among the step s102 in the said method, the amplitude of supposing m bunch is ξ [m], and the amplitude in n footpath is β [n].Then according to bunch discrete time interval delta T and the discrete time interval of delta t in footpath, amplitude ξ [m] and the n amplitude, ss [n] directly that obtains m bunch is respectively:

$\left|\mathrm{\&xi;}\right[m\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_1\left[m\right]+n_1}{20}},$ $\left|\mathrm{\&beta;}\right[n\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_2\left[n\right]+n_2}{20}}$ Wherein: n ₁, n ₂Normal Distribution, n ₁～Normal (0, σ ₁) ${\mathrm{\&mu;}}_1\left[m\right]=\frac{10\mathrm{Ln}{\mathrm{\&Omega;}}_0-10m/{\mathrm{\&Gamma;}}_m}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_1^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20}$ n ₂～Normal (0, σ ₂) ${\mathrm{\&mu;}}_2\left[n\right]=\frac{-10n/{\mathrm{\&gamma;}}_n}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_2^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20},$

Γ wherein _m=Γ Δ T, γ _n=γ Δ t, σ ₁, σ ₂By providing in the existing continuous ultra-wideband channel model; Γ is a bunch delay parameter, and γ is the footpath delay parameter, by providing in the existing continuous ultra-wideband channel model.Ω ₀Be a constant, can be assumed to be 1.

Among the step s103 in the said method, need to confirm that shadow effect take advantage of sex factor to the shadow effect of the influence of amplitude, suppose that it is X that shadow effect is taken advantage of sex factor, then the normal distribution of X obedience index be 20lg (X) ∝ Normal (0, σ _x), wherein: σ _xBy obtaining in the existing continuous ultra-wideband channel model.

Among the step s104 in the said method, the stochastic variable of supposing signal amplitude is U [m, n], then in m Δ T bunch interval with n Δ t directly in blanking time, the computing formula of the stochastic variable U of signal amplitude [m, n] is: U [m, n]=XPB ξ [m] β [n];

Wherein: X is that shadow effect is taken advantage of sex factor, and P is that two-value distributes, and equiprobablely gets 1 or-1, and expression is because the phasing back that reflection possibly cause.B is that also two-value distributes, and gets 1 or get 0.Be illustrated respectively in m bunch time, arrival or do not have arriving signal in n footpath time.According in the prior art to the algorithms of different of LOS (Line-Of-Sight, sighting distance) and NLOS (Non-Line-Of-Sight, non line of sight), the distribution of B also divides LOS and two kinds of situation of NLOS.

(1), LOS: work as m=0, during n=0, P (B=1)=1.When m＞0, during n=0, P (B=1)=Λ Δ t, P (B=0)=1-Λ Δ t.When m＞0, n＞0 o'clock

P(B＝1)＝λΛΔtΔT，P(B＝0)＝1-λΛΔtΔT。

(2), NLOS: when n=0, P (B=1)=Λ Δ t, P (B=0)=1-Λ Δ t.P (B=1)=λ Λ Δ t Δ T when n＞0, P (B=0)=1-λ Λ Δ t Δ T.

The present invention is further described for the basis below in conjunction with existing UWB continuous channel model.

A kind of channel model is provided, by (Λ, λ, Γ, γ, σ in the prior art ₁, σ ₂, σ _x) 7 parameters describe fully, according to the different of dual-mode antenna spacing and whether exist LOS, this model provided four kinds of typical UWB applied environments (model parameter value under the CM1～CM4), as shown in table 1.What wherein CM1 was corresponding is the view distance environment of antenna distance 0-4m, and CM2 is the nlos environment apart from 0-4m, and CM3 is the nlos environment apart from 4-10m, and CM4 is that multipath delay is expanded very large nlos environment.

A kind of channel model parameter that provides in table 1 prior art

Parameter	CM1	CM2	CM3	CM4
					Λ(1/ns)	0.0233	0.4	0.0677	0.0677
λ(1/ns)	2.5	0.5	2.1	2.1
					Γ (bunch delay parameter)	7.1	5.5	14.00	24.00
γ (footpath delay parameter)	4.3	6.7	7.9	12
					σ 1(dB)	3.3941	3.3941	3.3941	3.3941
σ 2(dB)	3.3941	3.3941	3.3941	3.3941
					σ x(dB)	3	3	3	3

Parameter with the above-mentioned UWB continuous channel model that provides is the basis, and the acquisition methods of the ultra-wideband channel model of the discrete time that the embodiment of the invention proposes is as shown in Figure 2, specifically may further comprise the steps:

Step s201, definite bunch discrete time interval delta T and the discrete time interval of delta t in footpath;

In ultra-wideband communication system, signal has the characteristic that cluster arrives, and comprises a plurality of footpaths in each bunch again, bunch with all obey Poisson distribution the time of advent in footpath, receive in the t that in blanking time k time bunch or probability directly also obey Poisson distribution, promptly $P[N(s+t)-N\left(s\right)=k]=\frac{{\left(\mathrm{\&lambda;\; t}\right)}^k}{k!}{e}^{-\mathrm{\&lambda;\; t}},$ Wherein the value of λ is by providing in the existing continuous ultra-wideband channel model, and its concrete value is provided by form 1.

Definite bunch discrete time interval delta T with the standard of the discrete time interval of delta t in footpath is: make the probability that in the time interval of Δ T, arrives 1 bunch of signal much larger than the probability that arrives 2 bunches of signals; Make the probability that in the time interval of Δ t, arrives 1 footpath signal much larger than the probability that arrives 2 footpath signals.Here with much larger than concrete standard to be 100 times be example, therefore can get:

$\frac{P[N(s+\mathrm{\&Delta;\; T})-N\left(s\right)=2]}{P[N(s+\mathrm{\&Delta;\; T})-N\left(s\right)=1]}\&GreaterEqual;100$ With $\frac{P[N(s+\mathrm{\&Delta;\; t})-N\left(s\right)=2]}{P[N(s+\mathrm{\&Delta;\; t})-N\left(s\right)=1]}\&GreaterEqual;100,$ Thereby the discrete time in discrete time interval delta T of obtaining bunch and footpath is at interval, sees the following form 2:

Table 2: bunch discrete time interval delta T and footpath discrete time at interval

?	CM1	CM2	CM3	CM4
					ΔT(ns)	0.858	0.05	0.295	0.295
Δt(ns)	0.008	0.04	0.0095	0.0095

Step s202, according to bunch discrete time interval delta T and the discrete time interval of delta t in footpath, obtain the discrete time model of m bunch amplitude ξ [m] and n amplitude, ss [n] directly.

Amplitude, ss [n] computing formula in m bunch amplitude ξ [m] and n footpath is:

$\left|\mathrm{\&xi;}\right[m\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_1\left[m\right]+n_1}{20}},$ $\left|\mathrm{\&beta;}\right[n\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_2\left[n\right]+n_2}{20}}$ Wherein: n ₁, n ₂Normal Distribution, n ₁～Normal (0, σ ₁) ${\mathrm{\&mu;}}_1\left[m\right]=\frac{10\mathrm{Ln}{\mathrm{\&Omega;}}_0-10m/{\mathrm{\&Gamma;}}_m}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_1^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20}$ n ₂～Normal (0, σ ₂) ${\mathrm{\&mu;}}_2\left[n\right]=\frac{-10n/{\mathrm{\&gamma;}}_n}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_2^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20},$

, Γ _m=Γ/Δ T γ _n=γ/Δ t, σ ₁, σ ₂Provide by form 1.Γ is a bunch delay parameter, and γ is the footpath delay parameter, is provided by form 1.Ω ₀Be a constant, can be assumed to be 1.

Step s203, confirm that shadow effect takes advantage of sex factor X to the shadow effect of the influence of amplitude, X obey the index normal distribution be 20lg (X) ∝ Normal (0, σ _x), wherein: σ _xProvide by table 1.

Step s204, obtain in m the Δ T bunch interval and n footpath in blanking time, the stochastic variable U of signal amplitude [m, n], the computing formula of U [m, n] is: U [m, n]=XPB ξ [m] β [n];

Wherein: P is that two-value distributes, and equiprobablely gets 1 or-1, and expression is because the phasing back that reflection possibly cause.B is that also two-value distributes, and gets 1 or get 0.Be illustrated respectively in m bunch time, arrival or do not have arriving signal in n footpath time.According to the algorithms of different of in the prior art LOS and NLOS being taked, the distribution of B also divides LOS and two kinds of situation of NLOS.1, LOS: work as m=0, during n=0, P (B=1)=1.When m＞0, during n=0, P (B=1)=Λ Δ t, P (B=0)=1-Λ Δ t.When m＞0, n＞0 o'clock P (B=1)=λ Λ Δ t Δ T, P (B=0)=1-λ Λ Δ t Δ T.2, NLOS: when n=0, P (B=1)=Λ Δ t, P (B=0)=1-Λ Δ t.P (B=1)=λ Λ Δ t Δ T when n＞0, P (B=0)=1-λ Λ Δ t Δ T.

Can adopt following steps as shown in Figure 3 during model instance of the discrete time model in making up the embodiment of the invention:

Step s301, obtain one group of bunch of random sequence C [m], $0\&le;m\&le;\frac{10\mathrm{\&Gamma;}}{\mathrm{\&Delta;\; T}}.$

For NLOS: $\left\{\begin{array}{c}P\left(c\right[m]=1)=\mathrm{\&Lambda;\; \&Delta;\; T}\\ P\left(c\right[m]=0)=1-\mathrm{\&Lambda;\; \&Delta;\; T}\end{array}\right.0\&le;m\&le;\frac{10\mathrm{\&Gamma;}}{\mathrm{\&Delta;\; T}}.$

For LOS: $\left\{\begin{array}{c}P\left(c\right[0]=1)=1\\ P\left(c\right[m]=1)=\mathrm{\&Lambda;\; \&Delta;\; T}\\ P\left(c\right[m]=0)=1-\mathrm{\&Lambda;\; \&Delta;\; T}\end{array}\right.1\&le;m\&le;\frac{10\mathrm{\&Gamma;}}{\mathrm{\&Delta;\; T}}.$

Step s302, to each C [i] confirm one group the footpath sequence r [i, n].At C [i]=0 place, r [i, n]=0; C [i]=1 place, then r [i, n] is a random sequence.

$\left\{\begin{array}{c}P\left(r\right[i,0]=1)=1\\ P\left(r\right[i,n]=1)=\mathrm{\&lambda;\&Delta;t}\\ P\left(r\right[i,n]=0)=1-\mathrm{\&lambda;\&Delta;t}\end{array}\right.1\&le;n\&le;\frac{10\mathrm{\&gamma;}}{\mathrm{\&Delta;t}},c\left[i\right]=1$

r[i，n]＝0 $0\&le;n\&le;\frac{10\mathrm{\&gamma;}}{\mathrm{\&Delta;t}}$ c[i]＝0

Step s303, the two-dimensional random array r [m, n] that obtains by s301, s302, to all r [i, j]=1 (i, j), obtain its signal amplitude U [i, j]:

$\left\{\begin{array}{cc}U[i,j]=\mathrm{XPB\&xi;}\left[i\right]\mathrm{\&beta;}\left[j\right]& r[i,j]=1\\ U[i,j]=0& r[i,j]=0\end{array}\right.$

So far, just obtained an instance of the ultra-wideband channel model of discrete time.

Embodiments of the invention also provide a kind of ultra-wideband channel model deriving means of discrete time, and its structure is as shown in Figure 4, specifically comprises:

Time interval acquiring unit 10, the discrete time that is used for obtaining signal bunch at interval with the discrete time in footpath at interval;

Amplitude acquiring unit 20, be used for according to time interval acquiring unit 10 obtain bunch discrete time at interval with the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath;

Take advantage of sex factor acquiring unit 30, be used to obtain shadow effect the shadow effect of the influence of said amplitude is taken advantage of sex factor;

Channel model acquiring unit 40; Be used for according to amplitude acquiring unit 20 obtain bunch amplitude and the discrete time model of amplitude in footpath; And the shadow effect of taking advantage of sex factor acquiring unit 30 to obtain is taken advantage of sex factor; Acquisition time interval acquiring unit 10 obtain bunch discrete time at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

Concrete, time interval acquiring unit 10 further comprises:

Bunch discrete time interval acquiring subelement, the discrete time interval delta T that is used to obtain bunch, concrete: the discrete time interval delta T of obtaining bunch makes the probability that arrives 1 bunch of signal in time interval of the Δ T specific factor for the probability that arrives 2 bunches of signals;

Footpath discrete time interval acquiring subelement is used to obtain discrete time interval of delta t directly, and is concrete: obtain the discrete time interval of delta t in footpath, make that the interior probability that arrives 1 footpath signal of the time interval of Δ t is to arrive the directly specific factor of the probability of signals 2 times.

Concrete, amplitude acquiring unit 20 is specially first amplitude and obtains subelement, and the amplitude that is used for according to m bunch is ξ [m], and the amplitude in n footpath is β [n]; Concrete,

The discrete time model of the said amplitude of obtaining bunch and the amplitude in footpath is specially:

$\left|\mathrm{\&xi;}\right[m\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_1\left[m\right]+n_1}{20}},$ $\left|\mathrm{\&beta;}\right[n\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_2\left[n\right]+n_2}{20}}$

Wherein: n ₁, n ₂Normal Distribution, n ₁～Normal (0, σ ₁) ${\mathrm{\&mu;}}_1\left[m\right]=\frac{10\mathrm{Ln}{\mathrm{\&Omega;}}_0-10m/{\mathrm{\&Gamma;}}_m}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_1^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20}$ n ₂～Normal (0, σ ₂) ${\mathrm{\&mu;}}_2\left[n\right]=\frac{-10n/{\mathrm{\&gamma;}}_n}{\mathrm{Ln}10}-\frac{{\mathrm{\&sigma;}}_2^2\mathrm{<figure-callout\; id="10"\; label="Ln"\; filenames="S2008100849520E00031.png"\; state="\{\{state\}\}">Ln</figure-callout>}10}{20},$ Γ _m=Γ Δ T γ _n=γ Δ t, σ ₁, σ ₂By obtaining in the continuous ultra-wideband channel model, Γ is a bunch delay parameter, and γ is the footpath delay parameter, Ω ₀Be a constant, the discrete time that Δ T is bunch at interval, Δ t be the discrete time interval in footpath.

Concrete, channel model acquiring unit 40 is specially first channel model and obtains subelement, the discrete time that is used to obtain bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is specially:

If in m the Δ T bunch interval and n Δ t footpath is in blanking time, the stochastic variable of signal amplitude is U [m, n], and then U [m, n] is: U [m, n]=XPB ξ [m] β [n];

Wherein: P gets 1 or-1, and expression is because the phasing back that reflection possibly cause; B is for getting 1 or 0; Be illustrated respectively in m bunch time, arriving or do not have arriving signal, X in n footpath time is that shadow effect is taken advantage of sex factor, and ξ [m] is m bunch a amplitude, and β [n] is the amplitude in n footpath.

The method and apparatus that provides through the embodiment of the invention; Directly utilize the discretization signal bunch with the obtaining of the ultra-wideband channel model of having realized discrete time the time of advent at interval in footpath; Have and calculate simple, convenient and practical advantage; And can directly extrapolate the general formula of relevant channel characteristics according to embodiments of the invention, be convenient to emulation and calculating channel characteristic.

Through the description of above execution mode, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product; This computer software product is stored in the storage medium, comprises that some instructions are used so that an equipment is carried out the described method of each embodiment of the present invention.

More than disclosedly be merely several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.

Claims (9)

1. the acquisition methods of the ultra-wideband channel model of a discrete time is characterized in that, may further comprise the steps:

The discrete time of obtaining in the signal bunch at interval with the discrete time in footpath at interval;

According to said bunch discrete time at interval with the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath;

Obtain shadow effect the shadow effect of the influence of said amplitude is taken advantage of sex factor;

According to the discrete time model of amplitude of said bunch amplitude with the footpath, and shadow effect takes advantage of sex factor, the discrete time of obtaining bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

2. the acquisition methods of the ultra-wideband channel model of discrete time according to claim 1 is characterized in that said bunch discrete time is spaced apart Δ T, and the discrete time in said footpath is spaced apart Δ t;

The said discrete time interval delta T of obtaining bunch is specially: the discrete time interval delta T of obtaining bunch makes the probability that arrives 1 bunch of signal in time interval of the Δ T specific factor for the probability that arrives 2 bunches of signals;

The said discrete time interval of delta t directly of obtaining is specially: obtain the discrete time interval of delta t in footpath, make that the interior probability that arrives 1 footpath signal of the time interval of Δ t is to arrive the directly specific factor of the probability of signals 2 times.

3. like the acquisition methods of the ultra-wideband channel model of the said discrete time of claim 2, it is characterized in that,

Bunch signal or footpath signal arrive k time probability P in blanking time and meet Poisson distribution in the t, promptly $P[N(s+t)-N\left(s\right)=k]=\frac{{\left(\mathrm{\&lambda;\; t}\right)}^k}{k!}{e}^{-\mathrm{\&lambda;\; t}};$

Wherein: λ is a distributed constant, and N (s) is the number of times that arrives k time bunch of signal or footpath signal in the time s.

4. the acquisition methods of the ultra-wideband channel model of discrete time according to claim 1 is characterized in that for said bunch amplitude, the amplitude of establishing m bunch is ξ [m], and for the amplitude in said footpath, the amplitude of establishing the n footpath is β [n]; The discrete time model of the then said amplitude of obtaining bunch and the amplitude in footpath is specially:

$\left|\mathrm{\&xi;}\right[m\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_1\left[m\right]+n_1}{20}},$ $\left|\mathrm{\&beta;}\right[n\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_2\left[n\right]+n_2}{20}}$

Wherein: n ₁, n ₂Normal Distribution, n ₁～Normal (0, σ ₁)

n ₂～Normal (0, σ ₂)

Γ _m=Γ Δ T γ _n=γ Δ t, σ ₁, σ ₂Obtained by continuous ultra-wideband channel model, Γ is a bunch delay parameter, and γ is the footpath delay parameter, Ω ₀Be a constant, the discrete time that Δ T is bunch at interval, Δ t be the discrete time interval in footpath.

5. the acquisition methods of the ultra-wideband channel model of discrete time according to claim 1 is characterized in that, the said discrete time of obtaining bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is:

If in m the Δ T bunch interval and n Δ t footpath is in blanking time, the stochastic variable of signal amplitude is U [m, n], and then U [m, n] is: U [m, n]=XPB ξ [m] β [n];

Wherein: P gets 1 or-1, and expression is because the phasing back that reflection causes; B is for getting 1 or 0; Be illustrated respectively in m bunch time, arriving or do not have arriving signal, X in n footpath time is that shadow effect is taken advantage of sex factor, and ξ [m] is m bunch a amplitude, and β [n] is the amplitude in n footpath.

6. the deriving means of the ultra-wideband channel model of a discrete time is characterized in that, comprising:

Time interval acquiring unit, the discrete time that is used for obtaining signal bunch at interval with the discrete time in footpath at interval;

The amplitude acquiring unit, be used for according to said time interval acquiring unit obtain bunch discrete time at interval with the discrete time in footpath at interval, the amplitude of obtaining bunch and the discrete time model of the amplitude in footpath;

Take advantage of the sex factor acquiring unit, be used to obtain shadow effect the shadow effect of the influence of said amplitude is taken advantage of sex factor;

The channel model acquiring unit; Be used for according to said amplitude acquiring unit obtain bunch amplitude and the discrete time model of amplitude in footpath; And the shadow effect of taking advantage of the sex factor acquiring unit to obtain is taken advantage of sex factor; Obtain that said time interval acquiring unit obtains bunch discrete time at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is as the ultra-wideband channel model of discrete time.

7. like the deriving means of the ultra-wideband channel model of the said discrete time of claim 6, it is characterized in that said time interval acquiring unit further comprises:

Bunch discrete time interval acquiring subelement, the discrete time interval delta T that is used to obtain bunch, concrete: the discrete time interval delta T of obtaining bunch makes the probability that arrives 1 bunch of signal in time interval of the Δ T specific factor for the probability that arrives 2 bunches of signals;

Footpath discrete time interval acquiring subelement is used to obtain discrete time interval of delta t directly, and is concrete: obtain the discrete time interval of delta t in footpath, make that the interior probability that arrives 1 footpath signal of the time interval of Δ t is to arrive the directly specific factor of the probability of signals 2 times.

8. like the deriving means of the ultra-wideband channel model of the said discrete time of claim 7; It is characterized in that; Said amplitude acquiring unit first amplitude that is specially is obtained subelement; Being used for establishing m bunch amplitude for said bunch amplitude is ξ [m], and the amplitude of establishing the n footpath for the amplitude in said footpath is β [n]; The discrete time model of the then said amplitude of obtaining bunch and the amplitude in footpath is specially:

$\left|\mathrm{\&xi;}\right[m\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_1\left[m\right]+n_1}{20}},$ $\left|\mathrm{\&beta;}\right[n\left]\right|={10}^{\frac{{\mathrm{\&mu;}}_2\left[n\right]+n_2}{20}}$

Wherein: n ₁, n ₂Normal Distribution, n ₁～Normal (0, σ ₁)

n ₂～Norm al (0, σ ₂) Γ _m=Γ Δ T γ _n=γ Δ t, σ ₁, σ ₂Obtained by continuous ultra-wideband channel model, Γ is a bunch delay parameter, and γ is the footpath delay parameter, Ω ₀Be a constant, the discrete time that Δ T is bunch at interval, Δ t be the discrete time interval in footpath.

9. like the deriving means of the ultra-wideband channel model of the said discrete time of claim 7; It is characterized in that; Said channel model acquiring unit is specially first channel model and obtains subelement; The discrete time that is used to obtain bunch at interval in the discrete time in footpath in blanking time, the stochastic variable of signal amplitude is specially:

If in m the Δ T bunch interval and n Δ t footpath is in blanking time, the stochastic variable of signal amplitude is U [m, n], and then U [m, n] is: U [m, n]=XPB ξ [m] β [n];

Wherein: P gets 1 or-1, and expression is because the phasing back that reflection causes; B is for getting 1 or 0; Be illustrated respectively in m bunch time, arriving or do not have arriving signal, X in n footpath time is that shadow effect is taken advantage of sex factor, and ξ [m] is m bunch a amplitude, and β [n] is the amplitude in n footpath.

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