Method for determining the radioelectric properties of a non-homogeneous medium using a radio frequency detection system

Abstract

Method for determining the radioelectric properties of a medium comprising the steps of: Determining (101) a measure of a frequency transfer function of a transmission channel characterizing said medium, Determining (102) a model of said frequency transfer function, Determining (103, 104) an estimation function of a correlation coefficient between at least one measure of a frequency transfer function and the model of said function, Fixing (400) an initial value of at least one radioelectric property, Finding (402) a set of first local maxima of the estimation function on the domain defined by at least one position variable for the initial value of at least one radioelectric property, For each first local maximum,search (403) for a second local maximum of the estimation function on the domain defined by at least one variable characterizing at least one radioelectric property of the medium and on a domain defined by at least one position variable constrained by the first local maximum. Figure 4,

Description

Title of the invention: Method for determining the radioelectric properties of a non-homogeneous medium using a radio frequency detection system

[0001] The invention relates to the field of non-destructive devices and methods for characterizing the composition of a non-homogeneous material or medium using a radio frequency system. For example, the invention relates in particular to ground-penetrating radars that enable the detection, location, or identification of underground targets. The invention may also relate to the field of health, for example, the characterization of biological tissues.

[0002] The invention relates more specifically to a method for determining the radioelectric properties of a non-homogeneous medium using a radio frequency system. The proposed method allows for resolution with reduced complexity, compatible with implementation embedded in a resource-constrained device.

[0003] For all applications which aim to detect elements in a medium or material from a radio frequency detection system, knowledge of the radioelectric properties of the detection medium is important.

[0004] Indeed, the spatial localization of the targets sought is generally achieved by analyzing the propagation time of the radio signals emitted and received by the radio frequency system, which are then converted into distances using an estimation of the propagation speed of radio waves in the medium. Now, the propagation speed of an electromagnetic wave depends on the radioelectric properties of the medium, and in particular (although not exclusively) on its dielectric permittivity. The radioelectric properties of the medium make it possible to describe the response of this medium to an applied electric field.

[0005] For example, in the case of ground-penetrating radar, the medium through which the electromagnetic waves pass is generally the ground. In the case of applications in the healthcare field, the medium through which the waves pass relates to a set of biological tissues.

[0006] Most of the time, a priori assumptions are made about the actual values ​​of the radioelectric characteristics of the medium, such as the dielectric permittivity. However, the accuracy of these values ​​can be important to obtain sufficient precision for the detection and characterization of targets.

[0007] The invention therefore addresses a general problem of precise characterization of the radioelectric properties of a medium in which an electromagnetic wave propagates, in particular the dielectric permittivity or the permeability.

[0008] Furthermore, another general problem in this context is to carry out this characterization with limited processing complexity allowing the integration of the method into an embedded device.

[0009] In the field of ground penetration radars, there are several methods of detecting the position of a target.

[0010] A known prior art method is hyperbola curve fitting, described, for example, in reference [1]. When a ground-penetrating radar antenna is moved above the ground surface and the penetrating wave encounters buried targets or interfaces between different soil layers, the received signal observed in the time domain has a hyperbolic shape due to the travel times of the reflected waves, which differ depending on the relative position of the radar antennas and the target. Several antenna position configurations can be used to observe this phenomenon. For example, the transmitting (Tx) and receiving (Rx) antennas can move in the same direction, with one remaining in a fixed position relative to the other.Alternatively, the Tx antenna can move symmetrically to the Rx antenna relative to a fixed central point; this configuration is then called "Common Mid Point". Finally, one antenna can be positioned at different locations relative to the second fixed antenna, in a configuration called "Wide Angle Reflection and Refraction".

[0011] All these observation techniques make it possible to obtain a hyperbolic shape diagram when observing the received signal in the time domain as a function of an antenna position metric. The vertex of the hyperbola then indicates the effective position of the target (or interface), and the shape of the hyperbola depends on the horizontal pitch and the signal velocity in the material: the higher the velocity, the wider the hyperbola, and vice versa. By analyzing the shape of the hyperbola, one can determine the wave propagation velocity in the medium and thus its electrical permittivity. Fitting the observed signal to a theoretical hyperbola is performed by a similarity analysis, as described, for example, in references [2, 3].

[0012] This method is very common for calibrating GPR data, but it has several major drawbacks. The accuracy of the method remains low due to the difficulty of fitting a theoretical curve to an experimental observation subject to uncertainty. Increasing the accuracy requires acquiring a larger number of observations, which implies moving the antennas for each observation. Moving the antennas can be avoided if several spatially distributed Tx and Rx antennas are available, but in this case, the accuracy of the fitting technique is low. The method is also poorly suited to detecting stratified layers in a non-homogeneous medium, because the different reflections produce hyperbolas that overlap, making adjustment more difficult. This situation requires the implementation of complex algorithms, as illustrated in reference [4].

[0013] Another known type of method concerns migration methods, such as those presented, for example, in reference [5]. These methods seek to reduce the inaccuracy of the hyperbola fitting method due to observational uncertainties in the received signal. This is a form of mathematical processing whose main purpose is to increase the accuracy of the hyperbolic traces of targets and interfaces. Theoretically, this process makes it possible to reduce the hyperbolas acquired by the radar to a single localization point. However, implementing this technique proves difficult when applied to potentially noisy experimental data. There is a wide variety of different migration methods, including hyperbolic summation, Kirchhoff migration, inverse projection focusing, phase-shift migration, and a>-k migration [5].

[0014] The main parameter required to reduce the hyperbola to a single point corresponds to the dielectric properties of the soil as described in reference [6]. This makes the migration process a means of increasing the accuracy of the curve fitting, since the process only works correctly if the applied ground transmission velocity is accurate. Thus, migration methods use an average estimate of the relative permittivity of a material for a given depth. A drawback of these methods is their relative inaccuracy when the material is composed of several layers with different permittivities.

[0015] Reference [6] proposes a method applied to the detection of buried targets. It proposes testing different average permittivity values ​​for a given acquisition. The selected permittivity is the one that minimizes the surface area of ​​the detected target. Consequently, this method is not generic and is not applicable in the absence of a target, for example, in the case of a stratified inhomogeneous material. Furthermore, the metric of the apparent surface area of ​​the target is imprecise and is only suitable for targets of simple shape, whose apparent surface area varies monotonically with the absolute error in the assumed permittivity.

[0016] Other known methods aim to solve the problem of determining the radioelectric properties of a medium using a radio frequency detection system. Examples include patent applications and patents WO2020180191, EP3164672, WO2022091456, FR3041108 and FR3142553.

[0017] All these methods have drawbacks; some are invasive and destructive, others require prior knowledge of the geometry of the medium, and still others are not applicable to an inhomogeneous medium. In general, These methods offer solutions for processing radar data in the time domain.

[0018] There is a need for a method to accurately characterize the radioelectric properties of a medium using a radio frequency detection system that overcomes the limitations of prior art methods. In particular, the proposed method must be relatively simple to be compatible with implementation in a resource-constrained embedded system.

[0019] A new characterization method is proposed which operates in the frequency domain and which has reduced complexity compared to prior art methods.

[0020] To this end, the invention relates to a method for determining the radioelectric properties of a medium, comprising the steps of: - To determine, using a radio frequency detection system comprising at least one transmitter and one receiver, for each pair associating a receiver and a transmitter, a measurement of a frequency transfer function of a transmission channel characterizing said medium, - Determine a model of said frequency transfer function as a function of at least one position variable and at least one variable characterizing at least one radioelectric property of the medium, - Determine an estimation function for a correlation coefficient between at least one measure of a frequency-domain transfer function and the model of said function, - Fix an initial value for at least one radio property, - Search for a set of first local maxima of the estimation function on the domain defined by at least one position variable for the initial value of at least one radio property, - For each first local maximum, search for a second local maximum of the estimation function on the domain defined by at least one variable characterizing at least one radioelectric property of the medium and on a domain defined by at least one position variable constrained by the first local maximum.

[0021] According to a particular aspect of the invention, the search for a second local maximum of the estimation function is carried out on an interval of at least one position variable in the vicinity of the first local maximum.

[0022] According to a particular aspect of the invention, the search for a second local maximum of the estimation function is carried out on a constrained domain such that the electrical length, defined by the product of the square root of the real part of the dielectric permittivity by the total distance traveled by the signal between an emitter and a receiver, is substantially constant between the first local maxima and the second local maximum.

[0023] According to a particular aspect of the invention, the constraint of substantially constant electrical length is imposed for all pairs associating a transmitter and a receiver.

[0024] According to a particular aspect of the invention, the constraint of substantially constant electrical length is imposed only for the pair associating a transmitter and a receiver which minimizes the distance traveled by a radio frequency signal with a diffuser of coordinates equal to the first local maximum.

[0025] In one embodiment, the method according to the invention further includes a step of determining an image of the medium as a function of at least one position variable from said measurements and at least one initial value, the search for said set of first local maxima being carried out on the image and not the estimation function.

[0026] According to a particular aspect of the invention, the steps of determining at least one measure of the frequency transfer function and of determining a model of said transfer function are carried out for each pair associating a transmitter and a receiver of the detection system, the method further comprising the determination of a correlation coefficient between said measurement and said model for each of said pairs, the estimation function being calculated from all the correlation coefficients.

[0027] According to a particular aspect of the invention, the amplitude and phase of the frequency transfer function model depend on the distance between a transmitting antenna and a point in the plane and on the distance between the point in the plane and a receiving antenna.

[0028] According to a particular aspect of the invention, at least one variable characterizing a radioelectric property of the medium is taken from: the real part or the imaginary part of the dielectric permittivity or of the permeability.

[0029] According to a particular aspect of the invention, the correlation coefficient is determined by an equalization method of type ZF, MMSE or MRC.

[0030] The invention also relates to a device for determining the radioelectric properties of a medium comprising a radio frequency detection system including at least one transmitter and one receiver and a processing unit, the system being configured to implement the method according to the invention.

[0031] According to a particular aspect of the invention, the radio frequency detection system is a ground penetration radar.

[0032] The invention also relates to a computer program comprising code instructions that lead the device according to the invention to execute the steps of the method according to the invention as well as a computer-readable medium on which the computer program according to the invention is recorded.

[0033] Other features and advantages of the present invention will become more apparent from the following description in relation to the following accompanying drawings.

[0034] [Fig. 1] represents a flowchart detailing the general principle of a method for determining the radioelectric properties of a medium according to the invention,

[0035] [Fig.2] schematically illustrates an example of a radio frequency detection system, capable of putting implementing the invention,

[0036] [Fig.3] illustrates a graphical representation of a transfer function model,

[0037] [Fig.4] represents a flowchart describing the steps of a method of constrained optimization according to a first embodiment of the invention,

[0038] [Fig.4bis] represents a flowchart describing the steps of a constrained optimization method according to a second embodiment of the invention,

[0039] [Fig.5] represents a radar image of the ground in the (x,z) plane,

[0040] [Fig.6] schematically illustrates an example of a system suitable for implementing the invention.

[0041] Fig. 1 represents a flowchart describing the general principle of a method for determining the radioelectric properties of a medium according to the invention.

[0042] In the following description, the method is described for a non-limiting example intended for determining the permittivity of a medium such as soil using a radio frequency detection system such as ground-penetrating radar. However, the invention is not limited to the determination of permittivity but extends to the determination of any radioelectric property characterizing a medium, such as permeability.

[0043] Similarly, the invention is not limited to the use of a ground-penetrating radar device but extends to any radio frequency detection device.

[0044] The method begins in step 101 with a set of frequency transfer function measurements using a radio frequency detection device.

[0045] The radio frequency detection system comprises a transmitter capable of transmitting a radio frequency signal via at least one transmitting antenna Tx and a receiver capable of receiving this radio frequency signal via at least one receiving antenna Rx. Several versions of the transmitted signal are observed and depend on the positions of the Tx and Rx antennas.

[0046] According to one embodiment, these different versions of the received signal are obtained from several Tx antennas located at fixed positions and several Rx antennas located at fixed positions, according to a configuration of the radio frequency detection device called "Multiple Input Multiple Output (MIMO)".

[0047] Figure 2 schematically illustrates an example of such a radio frequency detection system in the form of an RPS ground penetration radar having five transmitting antennas and four receiving antennas.

[0048] Alternatively, the different measurements can also be obtained by carrying out successive transmissions, and by moving the Tx or Rx antennas between each transmission.

[0049] Thus, a measurement is obtained for each pair associating a transmitting antenna Tx with a receiving antenna Rx for a given position of these two antennas.

[0050] The invention also applies to the case where a single antenna is used for both transmission and reception and is connected to the transmitter and receiver via a separation device such as a coupler.

[0051] The separation between the signals transmitted via each pair of Tx and Rx antennas is achieved in the time domain through successive transmissions, but it can also be achieved by any conventional multiple access method, such as frequency separation or by codes.

[0052] We now consider the general case of a system composed of M transmitting antennas and N receiving antennas, or more generally, of M different transmitting antenna positions and N different receiving antenna positions. M and N are two strictly positive integers.

[0053] The radio frequency detection system further includes an estimation module configured to determine, from the signal transmitted via the Tx antenna in position m and received via the Rx antenna in position n, a complex transfer function Hmn(f) for different frequency values ​​f.

[0054] Several methods for obtaining the transfer function Hmn(f) and for choosing a signal to be transmitted exist in the prior art and are known techniques in the field of channel estimation or radio sounding. References [8], [9],

[10] give examples of such methods.

[0055] The transfer function Hmn(f) depends on the composition of the medium through which the signal passes, and in particular on the spatial distribution of the radioelectric properties of the medium, and in the case of the presence of targets, on the position and the Radar Equivalent Area (SER) of the targets.

[0056] At the end of step 101, we therefore have a measurement of transfer function Hmn(f) for several frequency values ​​and for each pair (m,n) associating a transmitting antenna and a receiving antenna for which a measurement has been carried out.

[0057] In step 102, a theoretical model of the frequency transfer function is then determined which takes into account the radioelectric properties of the medium through which the signal passes.

[0058] For example, the chosen model is adapted to a point diffuser located at a position rp in a homogeneous medium with permittivity of real part e'r and negligible imaginary part. The transfer function between the emitter m and the receiver n is modeled by the following equation (1):

[0059] f\ || fa-r IGæ)3''2.^

[0060] rm and rn are respectively the positions of the transmitting antenna and the receiving antenna,

[0061] Gm and Gn are the respective gains of the transmitting and receiving antennas,

[0062] That's the speed of light in a vacuum.

[0063] The model given by equation (1) considers on the one hand the phase shift linked to the geometry of the scene for rectilinear propagation and on the other hand an amplitude given by the radar equation from the literature (see reference [7]).

[0064] Fig. 3 schematically represents a graphical representation of the model of equation (1) for M=N=8 and for two diffusers 301, 302. Reference 303 represents a test point located at coordinates (x, z).

[0065] Without departing from the scope of the invention, other models can be developed as a replacement for that of equation (1) insofar as they take into account at least one radioelectric property of the medium, for example the permittivity e'r.

[0066] For example, equation (1) can be replaced by the following equation (Ibis) in

[0067] / 1 [(4^.

[0068] Indeed, equation (1) provides a transfer function model suitable for a point scatterer located at a position rp in a homogeneous medium with permittivity of real part μ'r and negligible imaginary part. Its phase is calculated by considering the delay accumulated by the wave for rectilinear propagation between the Tx antenna and the scatterer, and then between the scatterer and the Rx antenna. Its amplitude is given by the radar equation.

[0069] Observation of experimental results tends to show that the model given by equation (1) is not always optimal with regard to the modeling of the amplitude.

[0070] A physical explanation for the adaptation proposed by equation (Ibis) is that the radar cross-section (RCS) is assumed to be independent of the radioelectric properties of the medium. However, it is estimated that the RCS of a given object evolves inversely proportionally to the permittivity e'r of the medium.

[0071] The modulus of equation (Ibis) allows for improved focusing, as explained later.

[0072] In step 103, a correlation coefficient is determined between the measurement carried out in step 101 and the model determined in step 102, for each pair of antennas.

[0073] For example, the correlation coefficient is determined by means of relation (2) which represents a Zero Forcing (ZF) type equalization.

[0074] _ (2) ( J ? rpy £ r ) ~ , , -J 'mn\J rJl

[0075] * represents the complex conjugation operator

[0076] Alternatively, the correlation coefficient can be obtained via another equalization formula, such as those of the "Minimum Mean Square Error" (MMSE) or "Maximum Ratio Combining" (MRC) type.

[0077] The correlation coefficient depends at least on the frequency, at least one spatial coordinate, and at least one radio property and is representative of a correlation between the measured transfer function Hmn(f) and the model rp, p r}

[0078] Steps 101, 102, 103 are iterated for each pair associating a transmitting antenna of index m and a receiving antenna of index n.

[0079] In step 104, an overall estimation function of the correlation coefficient is then determined for all observations made by the radio frequency detection system.

[0080] Considering that the transfer functions are observed over a set of L discrete frequencies fb as well as for the different bi-static angles from M positions rm of the emitter and N positions rn of the receiver, the global estimation function is obtained by performing a consistent summation of the different observations as represented by equation (3):

[0081] Sr) = ^r)

[0082] In step 105, at least one maximum of the global estimation function is then sought, or more precisely, its absolute value or its squared norm when this function is complex. The search is carried out in the multidimensional space consisting of the spatial variables and the variables characterizing the radioelectric properties that form the domain of definition of this function.

[0083] This approach is based on the principle that the radioelectric property values ​​that best correspond to the physical reality of the field provide correlation coefficient values ​​that are consistent between different frequencies and different observation configurations, maximizing the modulus of the consistent sum of equation (3).

[0084] This maximization of the modulus of the coherent sum of the correlation coefficients for values ​​of variables that correspond to an observed physical reality is also called the "focusing principle".

[0085] In step 106 of the method, at least one radioelectric property value associated with a spatial position is deduced.

[0086] For example, for the example of equations (2) and (3), we obtain a position value and a dielectric permittivity value associated with this position which are defined by equation (4):

[0087] (rpmx, e^) = argmax|A(rp, £>) I

[0088] Argmax represents the mathematical function argument of the maximum, which provides the values ​​of the variables for which a function reaches its maximum.

[0089] Given the a priori model given by equation (1), the vector rpax provides information on the position of the point diffuser providing the largest Radar Equivalent Area in the observed space and provides information on the most representative value of the real part of the average dielectric permittivity in the part of the medium traversed by the electromagnetic wave between the transmitting antennas and the receiving antennas via the position r1^.

[0090] One drawback of the method described in [Fig. 1] lies in the complexity of solving it due to the multidimensional search space. Indeed, when the dimension space is 3D, the total search space is 4-dimensional, including the search for the real part of the dielectric permittivity. Without a priori constraints on the search intervals of these different variables, the algorithm described in [Fig. 1] is complex to implement.

[0091] To overcome this drawback, a constrained optimization method is proposed to limit the search spaces.

[0092] This method is shown in [Fig. 4] for the case of determining the actual part of the permittivity of a medium, for example, soil. The invention applies identically to other variables for characterizing the medium, such as permeability.

[0093] Steps 101 to 104 are identical to those already described in [Fig.1].

[0094] In parallel or successively, at step 400, an initial a priori value is fixed the real part of the permittivity, denoted e0. For this value, a 2D or 3D image of the medium is determined (step 401) using a prior art radar imaging method such as the point scatterer method. An example of such a method is described in Applicant's patent application FR3124607.

[0095]

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[0109]

[0110] [YES]

[0112]

[0113] For example, if the target medium is the ground, the image is created in 2D in the (x,z) plane. An example of such an image is given in [Fig. 5]. In step 402, we search in the image for the set of local maxima which are grouped in a set q _ L. _ 1 , P being the number of local maxima. For example, in [Fig.5], we have shown an example of a local maximum 501 detected at step 402 for an initial permittivity value e0=0. In an embodiment of the invention described in [Fig.4bis], step 402 is carried out not by searching for local maxima on a radar image but by directly searching for the local maxima of the global estimation function determined in step 104, with the permittivity value fixed at its initial value in step 400. In this embodiment, step 401 of determining an image of the medium is omitted. In step 403, we then search for the values ​​of x, z and e that maximize the global estimation function determined in step 104 by setting the following search intervals: (x, y, z) = fmx|| A(x, z, e) |j" X £ [Xf-Ô^Xf + Ôx] Z £ £ £ [ 1, £wm.J etSmax delimit the search intervals. Step 403 is executed for each local maxima of the set In a particular embodiment, the overall estimation function is given by the relation: (Mx, z, E) fr X,Z,E) dmn ( x, z ) is the sum of the respective distances between the point with coordinates (x,z) and respectively the transmitting antenna m and the receiving antenna n of the radar. d*^ x, z) is the product of the respective distances between the point with coordinates (x,z) and respectively the transmitting antenna m and the receiving antenna n of the radar. The method described in [Fig. 4] has the advantage of limiting the search space since the search for maxima in the spatial location space is limited to neighborhood intervals around the positions detected in step 402 on the middle image.

[0114] However, it is still necessary to fix the bounds of the search intervals around these positions.

[0115] A variant of the method consists of exploiting the concept of electric length defined by the relation: c (} = z).

[0116] In theory, the electric length associated with a local maximum of the image of the medium should be constant regardless of the position x, z of the local maximum obtained with different a priori values ​​of dielectric permittivity.

[0117] This property can thus be exploited to limit the search space for values ​​of x and z such that they satisfy this property:

[0118] c^m, n) - \ / sëd„m(xi, %) -s / ëd^x, z) (6)

[0119] Equation (6) must be respected for all local maxima (Zj) detected in step 402 and for all indices m,n traversing the respective positions of the transmitting and receiving antennas.

[0120] Thus, equation (6) sets M x N constraints for each local maxima detected in step 402, where M is the number of emitters and N is the number of receivers. These constraints reduce the search space for the three variables (x, z, e). The optimization can also be reduced to searching for two variables since one of the three variables is linked to the other two by equation (6).

[0121] In another embodiment of the invention, the impact of measurement noise on the value of the electrical length is taken into account. Indeed, the estimation of the electrical length Cj(m, n) may be noisy. To account for this uncertainty, the following constraint is added in the form of the equations:

[0122] aC}(m,n)-^ëdnm(x,z) = 0, V n, Vm

[0123] a E [ 1-¾ 1 + ¾]

[0124] da defines the range of variation of the parameter a.

[0125] In yet another embodiment, in order to further limit the search domain of the variables, equation (6) is applied only for the pair of transmitting and receiving antennas which minimizes the distance dmn^Xj, z^ ■ This further reduces the search space of the variables.

[0126] Although the above example was described for a location in 2D space (x,z), the method applies identically in 3D space (x,y,z). Constraints are then added on the variable y.

[0127] The search for maxima of the global estimation function is carried out using numerical optimization algorithms such as those described for example in reference [H].

[0128] Figure 5 shows an example of the result obtained by applying the method according to the invention.

[0129] A target is placed at (x = 0.254; z = 1.758) in a homogeneous medium with permittivity e = 4.255. Another target is placed in the medium to induce a perturbation. The second target is at position (1.207; 1.080). Its radiated power is four times lower than that of the first target.

[0130] The first detection (step 402) is performed with e0 = 9. A local maximum in position (xi = i = 0.440; z; = 1 = 1.200) is identified (reference 501). Step 403 of the method is then applied, and a maximum 502 in position is obtained (x = 0.252; z = 1.761; e = 4.242), resulting in an error of less than one millimeter for the position and on the order of 0.01 for the permittivity.

[0131] Fig. 6 schematically represents a 600 system for determining radioelectric properties of a medium according to an embodiment of the invention.

[0132] The 600 system mainly comprises a radio frequency detection device RAD of the type described in [Fig.2] and a processing unit UT configured to implement the method according to the invention from measurements made by the RAD device.

[0133] The processing unit TU can be implemented in software and / or hardware form, in particular by using one or more processor(s) and one or more memory(ies). The processor can be a generic processor, a specific processor, an application-specific integrated circuit (also known as an ASIC for "Application-Specific Integrated Circuit"), or a field-programmable gate array (FPGA for "Field-Programmable Gate Array").

[0134] The 600 system may include a user interface for displaying results produced by the method. References

[0135] [1] S. Serkan and V. Borecky, “Estimation methods for obtaining GPR signal velocity,” in Proceedings of the Third International Conference on ACSEE, Zurich, Switzerland, 2015, pp. 10-11.

[0136] [2] E. Forte and M. Pipan, “Review of multi-offset GPR applications: Data acquisition, processing and analysis,” Signal processing, vol. 132, pp. 210-220, 2017.

[0137] [3] I. Dal Bo, A. Klotzsche et al., “Geophysical imaging of regolith in landscapes along a climate and végétation gradient in the Chilean Coastal cordillera,” Catena, vol. 180, pp. 146-159, 2019.

[0138] [4] Q. Don, L. Wei, D. R. Magee, and A. G. Cohn, “Real-time hyperbola récognition and fitting in GPR data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. l,pp. 51-62, 2017.

[0139] [5] C. Ozdemir, S5. Demirci et al., “A review on migration methods in B-scan ground penetrating radar imaging,” Mathematical Problems in Engineering, vol. 2014, 2014.

[0140] [6] Z. Dong, X. Feng et al., “3D migration depth focus velocity analysis of hand-held ground penetrating radar,” Geosciences, vol. 12, no. 4, p. 178, 2022.

[0141] [7] E. F. Knott, J. F. Schaeffer, and M. T. Tulley, Radar Cross Section. SciTech Publishing, 2004.

[0142] [8] Demery, D. A., J. D. Parsons, and A. M. D. Turkmani. "Sounding techniques for wideband mobile radio channels: a review." IEEE Proceedings (Communications, Speech and Vision) 138.5 (1991): 437-446.

[0143] [9] Laurenson, Dave, and Peter Grant. "A review of radio channel sounding techniques." 2006 14th European Signal Processing Conférence. IEEE, 2006.

[0144]

[10] Ullah, M. Habib, and A. Unggul Priantoro. "A review on multiplexing schemes for MIMO channel sounding." International Journal of Computer Science and Network Security 9.6 (2009): 294-300.

[0145]

[11] Michael Grant and Stephen Boyd. CVX: Matlab software for disciplined convex programming, version 2.0 beta. https: / / cvxr.com / cvx, September 2013

Claims

Demands

1. A method for determining the radioelectric properties of a medium comprising the steps of: - Determining (101), by means of a radio frequency detection system comprising at least one transmitter and one receiver, for each pair of a receiver and a transmitter, a measure of a frequency transfer function of a transmission channel characterizing said medium, - Determining (102) a model of said frequency transfer function as a function of at least one position variable and at least one variable characterizing at least one radioelectric property of the medium, - Determining (103, 104) an estimation function for a correlation coefficient between at least one measurement of a frequency transfer function and the model of said function, - Fixing (400) an initial value of at least one radioelectric property,- Search (402) for a set of first local maxima of the estimation function on the domain defined by at least one position variable for the initial value of at least one radioelectric property, - For each first local maximum, search (403) for a second local maximum of the estimation function on the domain defined by at least one variable characterizing at least one radioelectric property of the medium and on a domain defined by at least one position variable constrained by the first local maximum.

2. Method for determining radioelectric properties of a medium according to claim 1 wherein the search (403) for a second local maximum of the estimation function is carried out on an interval of at least one position variable in the vicinity of the first local maximum.

3. A method for determining the radioelectric properties of a medium according to claim 1, wherein the search (403) for a second local maximum of the estimation function is carried out on a constrained domain such that the electric length, defined by the product of the square root of the real part of the dielectric permittivity by the total distance traveled by the signal between a transmitter and a receiver, is substantially constant between the first local maxima and the second local maximum.

4. Method for determining radioelectric properties of a medium according to claim 3 wherein the constraint of substantially constant electrical length is imposed for all pairs associating a transmitter and a receiver.

5. Method for determining radioelectric properties of a medium according to claim 3 wherein the constraint of substantially constant electrical length is imposed only for the pair associating a transmitter and a receiver which minimizes the distance traveled by a radiofrequency signal with a scatterer of coordinates equal to the first local maximum.

6. Method for determining radioelectric properties of a medium according to any one of the preceding claims further comprising a step of determining (401) an image of the medium as a function of at least one position variable from said measurements and at least one initial value, the search (402) for said set of first local maxima being carried out on the image and not the estimation function.

7. Method for determining radioelectric properties of a medium according to any one of the preceding claims wherein the steps of determining at least one measurement of the frequency transfer function and of determining a model of said transfer function are carried out for each pair associating a transmitter and a receiver of the detection system, the method further comprising the determination (103) of a correlation coefficient between said measurement and said model for each of said pairs, the estimation function being calculated from all the correlation coefficients.

8. Method for determining radioelectric properties of a medium according to claim 7 wherein the amplitude and phase of the model of the frequency transfer function depend on the distance between a transmitting antenna and a point in the plane and on the distance between the point in the plane and a receiving antenna.

9. Method for determining radioelectric properties of a medium according to any one of the preceding claims wherein at least one variable characterizing a radioelectric property of the medium is taken from: the real part or the imaginary part of the dielectric permittivity or of the permeability.

10. Method for determining radioelectric properties of a medium according to any one of the preceding claims wherein the correlation coefficient is determined by an equalization method of type ZF, MMSE or MRC.

11. Device (600) for determining radioelectric properties of a medium comprising a radio frequency detection (RAD) system including at least one transmitter and one receiver and a processing unit (PU), the system being configured to implement the method according to any one of the preceding claims.

12. Device according to claim 11 wherein the radio frequency detection system is a ground penetration radar.

13. Computer program comprising code instructions that cause the device according to any one of claims 11 or 12 to perform the steps of the method according to any one of claims 1 to 10.

14. Computer-readable medium on which the computer program according to claim 13 is recorded.

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