CN114137484A - System parameter design and simulation method for multi-mode microwave remote sensor altimeter mode - Google Patents

System parameter design and simulation method for multi-mode microwave remote sensor altimeter mode Download PDF

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CN114137484A
CN114137484A CN202111140700.7A CN202111140700A CN114137484A CN 114137484 A CN114137484 A CN 114137484A CN 202111140700 A CN202111140700 A CN 202111140700A CN 114137484 A CN114137484 A CN 114137484A
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altimeter
mode
calculating
radar
microwave remote
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周鹏
王洁雨
薛莲
赵家兴
孙伟峰
戴永寿
万勇
曲晓俊
李立刚
郝宪锋
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China University of Petroleum East China
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/882—Radar or analogous systems specially adapted for specific applications for altimeters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4004—Means for monitoring or calibrating of parts of a radar system
    • G01S7/4008—Means for monitoring or calibrating of parts of a radar system of transmitters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4004—Means for monitoring or calibrating of parts of a radar system
    • G01S7/4021—Means for monitoring or calibrating of parts of a radar system of receivers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/40—Means for monitoring or calibrating
    • G01S7/4052—Means for monitoring or calibrating by simulation of echoes

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  • Remote Sensing (AREA)
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  • Electromagnetism (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention discloses a system parameter design and simulation method of a multimode microwave remote sensor altimeter mode, which belongs to the technical field of microwave remote sensor measurement and comprises the following steps: acquiring altimeter mode performance indexes and known system parameters; in the pulse finite mode, the azimuth beam width is calculated
Figure DDA0003283798430000011
Calculating azimuth antenna dimension la(ii) a Calculating a signal bandwidth B; calculating a PRF range; calculating the peak transmit power P using the radar equationt(ii) a Determining the number N of digital filtersl(ii) a Verifying whether the radar footprint size meets the requirement of the maximum mean square wave height; and outputting the design result of the system parameters. The invention enables the configurable hardware system to adapt to the requirement of the working mode of the altimeter by parameter design and system simulation, obtains better performance index and realizes multimode microwave remote controlThe sensor has very high flexibility and good development prospect.

Description

System parameter design and simulation method for multi-mode microwave remote sensor altimeter mode
Technical Field
The invention discloses a system parameter design and simulation method for a multimode microwave remote sensor altimeter mode, and belongs to the technical field of microwave remote sensor measurement.
Background
The multi-mode microwave remote sensor is a very complex system, and the parameters are numerous, related and restricted, so that the reasonable selection of the system parameters is the key of the radar system design. According to the magnitude of technical indexes such as elevation measurement precision, wind speed measurement precision, wind direction measurement precision, wavelength measurement precision, wave direction measurement precision, wavelength measurement range, effective wave height measurement precision and the like when the remote sensor works in different modes, a system parameter design method in an altimeter working mode is researched, a multi-mode microwave remote sensor parameter design method based on the technical indexes and system common parameter constraint is provided, and a configurable hardware system can meet the requirement of the altimeter working mode. On the basis of the design of system parameters related to an altimeter mode in the prior art, the invention increases the signal bandwidth B, verifies the radar footprint size range and the number N of digital filterslThe method has the advantages that the specific calculation process is adopted, the system simulation is carried out according to the parameter design process, the parameter design is applied to an actual system by combining with software operation, the automation process of the parameter design is enhanced, the theory is combined with the system, and a more convenient way is provided for the system parameter design in the altimeter mode.
Disclosure of Invention
The invention discloses a system parameter design and simulation method of an altimeter mode of a multi-mode microwave remote sensor, which aims to solve the problem that the system working parameters of the altimeter in the prior art cannot be applied to the multi-mode microwave remote sensor.
The method for designing the system parameters of the multimode microwave remote sensor altimeter mode comprises the following steps:
s1.1, acquiring altimeter mode performance indexes and known system parameters;
s1.2, under the pulse finite mode, calculating the width of the azimuth beam
Figure BDA0003283798410000011
S1.3, calculating the size l of the azimuth antennaa；
S1.4, calculating a signal bandwidth B;
s1.5, calculating a Pulse Repetition Frequency (PRF) range;
s1.6, calculating peak transmitting power P by using radar equationt；
S1.7, determining the number N of digital filtersl；
S1.8, verifying whether the radar footprint size meets the requirement of the maximum mean square wave height;
and S1.9, outputting a design result of the system parameter.
Preferably, in step S1.1, the altimeter mode performance indicator specified by the user comprises: height measurement accuracy ehRadar footprint size DFThe effective wave height SWH measurement range; known system parameters given by the user for altimeter mode include: platform height H, SNR, Carrier frequency f0Pulse width TrReceiver noise figure F, system loss L, platform velocity v, number of forming tracking gates Ng。
Preferably, in step S1.2,
Figure BDA0003283798410000021
SWHmaxthe maximum value of the measurement range of the effective wave height.
Preferably, in step S1.3,
Figure BDA0003283798410000022
λ is radar wavelength, distance is towards antenna size lrDimension l of antenna in azimuth directionaAnd the consistency is maintained.
Preferably, in step S1.4,
Figure BDA0003283798410000023
ρrfor distance resolution, C is the speed of light.
Preferably, in step S1.5, the height measurement accuracy
Figure BDA0003283798410000024
The lower limit of PRF is calculated from this equation, N is the number of independent measurements (i.e., the product of PRF times the average time for height measurement),
Figure BDA0003283798410000025
using this equation, the upper bound of the PRF can be calculated.
Preferably, in step S1.6,
Figure BDA0003283798410000026
k is Boltzmann constant, system noise temperature T0290K, G is antenna gain, λ is wavelength, NE σ0To normalize the noise figure (typically-20 dB), τ is the compressed pulse width.
Preferably, in step S1.7,
Figure BDA0003283798410000027
preferably, in step S1.8, the formula for verifying whether the radar footprint size meets the requirement of the maximum average square wave height is as follows:
Figure BDA0003283798410000028
the system simulation method of the multimode microwave remote sensor altimeter mode uses the system parameter design method of the multimode microwave remote sensor altimeter mode, and comprises the following steps:
carrying out sea echo waveform simulation on the altimeter, and calculating a sea backscattering coefficient sigma received by the quasi-specular scattering altimeter0，
Figure BDA0003283798410000029
R (0) is the Fresnel reflection coefficient, which is 0.61, and theta is the local angle of incidence,
Figure BDA0003283798410000031
the sea surface root mean square gradient is adopted, and U is the wind speed;
the altimeter emits a chirp signal of
Figure BDA0003283798410000032
The echo signal received by the altimeter receiver is as follows:
Figure BDA0003283798410000033
the deskew local oscillator signal is:
Figure BDA0003283798410000034
echo signal after full deskew:
Figure BDA0003283798410000035
Tpis the signal width, fcIs the carrier frequency, K is the linear modulation frequency, R is the distance between the target and the radar, hrefIs the declivity height;
constructing an altimeter echo model, and calculating sea surface echo power W (t), W (t) pFS(t)*qs(t)*sr(t)，pFS(t) average impulse response of flat surface, qs(t) is the wave height probability density, s, of the sea surfacer(t) is the point target impulse response of the radar, and the sea surface wave height probability density function is as follows:
Figure BDA0003283798410000036
σsthe root mean square wave height of the sea surface is related to the effective wave height SWH by SWH-4 (C/2) sigmas，λsAs sea surface distortion factor, H3Is a Hermite polynomial, H3(z)＝z3-3z；
Point target response function of altimeter
Figure BDA0003283798410000037
PrIs a constant related to the transmitted signal power of the altimeter radar system, B is the signal bandwidth, sigmap≈0.425rt，rtIs the time resolution of the altimeter.
According to the invention, through parameter design and system simulation, the configurable hardware system can meet the requirements of the working mode of the altimeter, better performance indexes are obtained, and the multi-mode microwave remote sensor has very high flexibility and good development prospect.
Drawings
FIG. 1 is a flow chart of system parameter design for a multimode microwave remote sensor altimeter mode;
FIG. 2 is a flow chart of a simulation of an altimeter point target echo signal;
FIG. 3(a) is a schematic diagram of a sea surface wave height probability density function for different effective wave heights;
(b) the sea surface wave height probability density function diagram is a sea surface wave height probability density function diagram with different skewness coefficients;
(c) a response diagram of radar altimeter point targets in different forms;
(d) is a schematic diagram of a flat sea impulse response function;
(e) the echo power diagrams are different effective wave heights;
(f) the echo power under different misdirection angles is a schematic diagram;
FIG. 4 is a graph of information contained in an altimeter echo signal;
FIG. 5 is a parameter design and performance index verification interface for an altimeter mode;
FIG. 6 is an altimeter mode parameter design module interface;
FIG. 7 is an altimeter mode echo model module interface;
FIG. 8 is an altimeter inversion echo module interface;
FIG. 9 is a sea surface parameter inversion result module interface of an altimeter under different wind speed conditions;
FIG. 10 shows the results of the performance software simulation platform of the multimode remote microwave sensor system operating in the altimeter mode.
Detailed Description
The present invention is further illustrated by the following specific examples.
The method for designing the system parameters of the multimode microwave remote sensor altimeter mode comprises the following steps:
s1.1, acquiring altimeter mode performance indexes and known system parameters;
s1.2, under the pulse finite mode, calculating the width of the azimuth beam
Figure BDA0003283798410000041
S1.3, calculating the size l of the azimuth antennaa；
S1.4, calculating a signal bandwidth B;
s1.5, calculating a Pulse Repetition Frequency (PRF) range;
s1.6, calculating peak transmitting power P by using radar equationt；
S1.7, determining the number N of digital filtersl；
S1.8, verifying whether the radar footprint size meets the requirement of the maximum mean square wave height;
and S1.9, outputting a design result of the system parameter.
In step S1.1, the altimeter mode performance indicator specified by the user includes: height measurement accuracy ehRadar footprint size DFThe effective wave height SWH measurement range; known system parameters given by the user for altimeter mode include: platform height H, SNR, Carrier frequency f0Pulse width TrReceiver noise figure F, system loss L, platform velocity v, number of forming tracking gates Ng. The radar parameters required to be output by the design result comprise: azimuth and range beam width, azimuth and range antenna size, signal bandwidth, pulse repetition frequency range, number of digital filters, peakValue transmit power, radar footprint size.
In a step S1.2, the first step,
Figure BDA0003283798410000051
SWHmaxthe maximum value of the measurement range of the effective wave height.
In a step S1.3, the first step,
Figure BDA0003283798410000052
λ is radar wavelength, distance is towards antenna size lrDimension l of antenna in azimuth directionaAnd the consistency is maintained.
In a step S1.4, the data is processed,
Figure BDA0003283798410000053
ρrfor distance resolution, C is the speed of light.
In step S1.5, the height measurement precision
Figure BDA0003283798410000054
The lower limit of PRF is calculated from this equation, N is the number of independent measurements (i.e., the product of PRF times the average time for height measurement),
Figure BDA0003283798410000055
using this equation, the upper bound of the PRF can be calculated.
In a step S1.6, the data is processed,
Figure BDA0003283798410000056
k is Boltzmann constant, system noise temperature T0290K, G is antenna gain, λ is wavelength, NE σ0To normalize the noise figure (typically-20 dB), τ is the compressed pulse width.
In a step S1.7, the data is processed,
Figure BDA0003283798410000057
in step S1.8, the formula for verifying whether the radar footprint size meets the requirement of the maximum average square wave height is:
Figure BDA0003283798410000058
the specification requirements and known technical parameters of the altimeter mode of the multimode microwave remote sensor system are given in table 1. According to the given parameters, a parameter design method is utilized to obtain a system parameter design result in the altimeter mode of the multi-mode microwave remote sensor system shown in the table 2.
TABLE 1 Performance index and known technical parameters for design of mode parameters of an altimeter of a multimode microwave remote sensor
Figure BDA0003283798410000059
Figure BDA0003283798410000061
TABLE 2 System parameter design results for the altimeter mode of the multimode microwave remote sensor
Figure BDA0003283798410000062
A system simulation method of a multimode microwave remote sensor altimeter mode uses a system parameter design method of the multimode microwave remote sensor altimeter mode, and comprises the following steps:
carrying out sea echo waveform simulation on the altimeter, and calculating a sea backscattering coefficient sigma received by the quasi-specular scattering altimeter0，
Figure BDA0003283798410000063
R (0) is the Fresnel reflection coefficient, which is 0.61, and theta is the local angle of incidence,
Figure BDA0003283798410000064
the sea surface root mean square gradient is adopted, and U is the wind speed;
the altimeter emits a chirp signal of
Figure BDA0003283798410000065
The echo signal received by the altimeter receiver is as follows:
Figure BDA0003283798410000066
the deskew local oscillator signal is:
Figure BDA0003283798410000067
echo signal after full deskew:
Figure BDA0003283798410000068
Tpis the signal width, fcIs the carrier frequency, K is the linear modulation frequency, R is the distance between the target and the radar, hrefIs the declivity height;
constructing an altimeter echo model, and calculating sea surface echo power W (t), W (t) pFS(t)*qs(t)*sr(t)，pFS(t) average impulse response of flat surface, qs(t) is the wave height probability density, s, of the sea surfacer(t) is the point target impulse response of the radar, and the sea surface wave height probability density function is as follows:
Figure BDA0003283798410000071
σsthe root mean square wave height of the sea surface is related to the effective wave height SWH by SWH-4 (C/2) sigmas，λsAs sea surface distortion factor, H3Is a Hermite polynomial, H3(z)＝z3-3z；
Point target response function of altimeter
Figure BDA0003283798410000072
PrIs a constant related to the transmitted signal power of the altimeter radar system, B is the signal bandwidth, sigmap≈0.425rt，rtIs the time resolution of the altimeter.
The derivation of the impulse response function of the flat sea surface is complex, and the accurate function expression is BrownAnd (3) discharging:
Figure BDA0003283798410000073
in the formula (I), the compound is shown in the specification,
Figure BDA0003283798410000074
wherein G is0For radar antenna gain, λ is the electromagnetic wave wavelength, C is the speed of light, σ0Is the sea surface backscattering coefficient, LpFor system loss, h is the distance from the radar to the sea surface, xi is the misdirection angle of the antenna,
Figure BDA0003283798410000075
θwis the 3dB beam width, I, of the antenna0(. cndot.) is a modified Bessel function of order 0 of the second type, and U (t) is a step function.
When the altimeter performs the retracing processing on the actual echo, the data amount to be processed is very large, and if the altimeter directly adopts a numerical integration method for calculation, the data processing is not timely due to the large data amount. Therefore, in order to process actual data quickly and accurately, it is necessary to perform a re-tracking process using an approximate echo waveform. Amarouche et al second order approximation of a 0 th order bezier function and expressed as an exponential function:
Figure BDA0003283798410000076
the flat sea impulse response function can therefore be expressed as:
Figure BDA0003283798410000077
finally, an approximate echo model suitable for a large misdirection angle is obtained:
Figure BDA0003283798410000081
wherein the content of the first and second substances,
Figure BDA0003283798410000082
h＝H(1+H/R)
Figure BDA0003283798410000083
Figure BDA0003283798410000084
α2＝δ
Figure BDA0003283798410000085
Figure BDA0003283798410000086
Figure BDA0003283798410000087
in the above formula, θwIs the 3dB beam width of the antenna, H is the height of the radar to the sea surface, R is the earth radius, t0The sampling time corresponding to the half-power point.
The influence of the effective wave height on the sea surface echo power is mainly shown in the rising edge of the echo, different effective wave heights have almost no influence on the falling edge of the waveform, the slope of the front edge is smaller when the effective wave height is larger, but the half-power point of the echo power is always fixed no matter what the effective wave height is, namely the effective wave height has no influence on the height measurement of the altimeter. And the larger the misdirection angle is, the more the trailing edge of the waveform gradually rises.
The echo of the altimeter comprises a plurality of ocean parameters, the sea surface height can be obtained from a half-power point of the rising edge of the echo, the effective wave height can be obtained from the slope of the rising edge of the echo, the backscattering coefficient can be obtained from the amplitude of the echo, and the misdirection angle of the antenna can be obtained from the falling edge of the echo. To obtain these ocean parameters, the echo signals must be fitted, using least squares herein to fit the altimeter echo signals.
The least square method is a common parameter estimation method, needs less prior information, has higher calculation precision, and is widely applied to altimeters. Fitting the simulated echo waveform with an echo model to obtain a simulated echo waveform
Figure BDA0003283798410000088
The value of (a) meets the precision requirement, and the parameter t to be estimated in the model can be obtained0、σcAnd A, and then inverting the sea surface height, the effective wave height and the sea surface backscattering coefficient by using the parameters.
The least square method for inverting the ocean parameters of the altimeter comprises the following steps: calculating partial derivatives of each parameter to be estimated:
Figure BDA0003283798410000091
Figure BDA0003283798410000092
Figure BDA0003283798410000093
given an initial value x0(t0,σcAnd A), solving an equation set to obtain dX;
Figure BDA0003283798410000094
Figure BDA0003283798410000095
dX＝A-1·B
X＝x0+dX
and iterating until the requirement of precision is met. Fig. 5 shows a parameter design and performance index verification interface of the altimeter mode, wherein the modules under the labels of "index setting", "known parameter" and "parameter output" constitute the parameter design module of the altimeter mode, and the rest is the altimeter mode performance index verification module. As shown in fig. 6, the user under the index setting label can input the indexes of the height measurement accuracy, the radar footprint is lower, the effective wave height measurement minimum value, and the effective wave height measurement maximum value by himself or herself, and can click the "profile import" button to import the reference value that has been set in advance. The "known parameters" are labeled platform height, platform speed, carrier frequency, system loss, receiver noise figure, signal-to-noise ratio, pulse width, which are known parameters of the radar system. Under the label of the output parameter, the system output parameters of azimuth beam width, azimuth antenna size, range beam width, range antenna size, signal bandwidth lower limit, PRF upper limit, number of digital filters, peak transmitting power and radar footprint are set. And when a parameter output button is clicked, a parameter design result is calculated according to the altimeter mode parameter design method. As shown in fig. 7, a user under the echo model tag of the altimeter can perform echo model simulation by inputting different system parameters, click a "simulated echo model" button, and perform simulated echo model according to the method introduced in the introduction of echo waveform profile of the altimeter, including simulation of an average sea impulse response function, a sea scattering point probability density function, and a point target response function. As shown in fig. 8, when the user clicks the "inversion" button, the software provides a fitting echo diagram of the altimeter under different wind speeds according to the altimeter mode system simulation method, and simultaneously displays the measurement errors of the sea surface height, the effective wave height, and the backscattering coefficient under the sea surface parameter inversion result labels under different wind speeds, as shown in fig. 9. As shown in fig. 10, an example of a design result of a performance software simulation platform of a multi-mode microwave remote sensor system in an altimeter mode is provided, where the design result includes a system parameter design module and a performance index verification module.
It is to be understood that the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make modifications, alterations, additions or substitutions within the spirit and scope of the present invention.

Claims (10)

1. The method for designing the system parameters of the multimode microwave remote sensor altimeter mode is characterized by comprising the following steps:
s1.1, acquiring altimeter mode performance indexes and known system parameters;
s1.2, under the pulse finite mode, calculating the width of the azimuth beam
Figure FDA0003283798400000011
S1.3, calculating the size l of the azimuth antennaa；
S1.4, calculating a signal bandwidth B;
s1.5, calculating a PRF range;
s1.6, calculating peak transmitting power P by using radar equationt；
S1.7, determining the number N of digital filtersl；
S1.8, verifying whether the radar footprint size meets the requirement of the maximum mean square wave height;
and S1.9, outputting a design result of the system parameter.
2. The method of claim 1, wherein in step S1.1, the altimeter mode performance indicator specified by the user comprises: height measurement accuracy ehRadar footprint size DFThe effective wave height SWH measurement range; known system parameters given by the user for altimeter mode include: platform height H, SNR, Carrier frequency f0Pulse width TrReceiver noise figure F, system loss L, platform velocity v, number of forming tracking gates Ng。
3. The method of claim 1, wherein in step S1.2,
Figure FDA0003283798400000012
SWHmaxthe maximum value of the measurement range of the effective wave height.
4. The method of claim 1, wherein in step S1.3,
Figure FDA0003283798400000013
λ is radar wavelength, distance is towards antenna size lrDimension l of antenna in azimuth directionaAnd the consistency is maintained.
5. The method of claim 1, wherein in step S1.4,
Figure FDA0003283798400000014
ρrfor distance resolution, C is the speed of light.
6. The method for designing system parameters in a multimode microwave remote sensor altimeter mode according to claim 1, wherein in step S1.5, height measurement accuracy is performed
Figure FDA0003283798400000015
The lower limit of PRF is calculated from this equation, N is the number of independent measurements, i.e., the product of PRF and the average time of height measurement,
Figure FDA0003283798400000016
using this equation, the upper bound of the PRF can be calculated.
7. The multi-mode microwave remote sensor altimeter mode of claim 1The method for designing system parameters according to (1) is characterized in that, in step S1.6,
Figure FDA0003283798400000021
k is Boltzmann constant, system noise temperature T0290K, G is antenna gain, λ is wavelength, NE σ0To normalize the noise figure, the typical value is taken as-20 dB, and τ is the pulse width after compression.
8. The method of claim 1, wherein in step S1.7,
Figure FDA0003283798400000022
9. the method for designing system parameters in the mode of the multi-mode microwave remote sensor altimeter of claim 1, wherein in step S1.8, the formula for verifying whether the radar footprint size meets the requirement of the maximum average square wave height is as follows:
Figure FDA0003283798400000023
10. a method of system simulation in a multimode microwave remote sensor altimeter mode, using the method of system parameter design in a multimode microwave remote sensor altimeter mode of any of claims 1-9, comprising:
simulating sea echo waveform of the altimeter, and calculating sea backscattering coefficient received by the quasi-specular scattering altimeter
Figure FDA0003283798400000024
R (0) is the Fresnel reflection coefficient, which is 0.61, and theta is the local angle of incidence,
Figure FDA0003283798400000025
the sea surface root mean square gradient is adopted, and U is the wind speed;
the altimeter emits a chirp signal of
Figure FDA0003283798400000026
The echo signal received by the altimeter receiver is as follows:
Figure FDA0003283798400000027
the deskew local oscillator signal is:
Figure FDA0003283798400000028
echo signal after full deskew:
Figure FDA0003283798400000029
Tpis the signal width, fcIs the carrier frequency, K is the linear modulation frequency, R is the distance between the target and the radar, hrefIs the declivity height;
constructing an altimeter echo model, and calculating sea surface echo power W (t), W (t) pFS(t)*qs(t)*sr(t)，pFS(t) average impulse response of flat surface, qs(t) is the wave height probability density, s, of the sea surfacer(t) is the point target impulse response of the radar, and the sea surface wave height probability density function is as follows:
Figure FDA0003283798400000031
σsthe root mean square wave height of the sea surface is related to the effective wave height SWH by SWH-4 (C/2) sigmas，λsAs sea surface distortion factor, H3Is a Hermite polynomial, H3(z)＝z3-3z；
Point target response function of altimeter
Figure FDA0003283798400000032
PrIs an altimeter radar system and a transmitting messageConstant related to signal power, B is signal bandwidth, σp≈0.425rt，rtIs the time resolution of the altimeter.
CN202111140700.7A 2021-09-28 2021-09-28 System parameter design and simulation method for multi-mode microwave remote sensor altimeter mode Pending CN114137484A (en)

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CN115392136A (en) * 2022-10-27 2022-11-25 中国石油大学(华东) Signal time sequence optimization model of multi-mode integrated microwave remote sensor

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* Cited by examiner, † Cited by third party
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CN115392136A (en) * 2022-10-27 2022-11-25 中国石油大学(华东) Signal time sequence optimization model of multi-mode integrated microwave remote sensor
CN115392136B (en) * 2022-10-27 2023-02-10 中国石油大学(华东) Signal time sequence optimization model of multi-mode integrated microwave remote sensor

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