CN108717180B - Networking radar power distribution method based on Stark-Berger game - Google Patents
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- 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
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- 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
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Abstract
The invention discloses a networking radar power distribution method based on a Starkelberg game, which comprises the following steps of: s1: acquiring path propagation loss between each radar and a target and between each radar and a communication system in a networking radar system; s2: establishing a networking radar power distribution model based on a non-cooperative game according to a preset target detection signal-to-interference-and-noise ratio threshold and each radar transmitting power upper limit; s3: calculating game income obtained by the communication system from a networking radar; s4: acquiring an iterative expression of the transmitting power of each radar in the networking radar system; s5: and the communication system increases the unit interference power price c, broadcasts to each radar, and continuously iteratively updates until the utility function of the communication system is converged, wherein the obtained emission power value of each radar meeting the constraint condition is obtained. The invention not only minimizes the transmitting power of each radar under the condition of meeting the detection performance of a given target, but also maximizes the game utility of the communication system.
Description
Technical Field
The invention relates to the field of radar signal processing, in particular to a networking radar power distribution method.
Background
The spectrum sharing technology can improve the spectrum utilization rate, and becomes a research hotspot in the field of spectrum resource management in recent years. The power control technology is adopted in the networking radar-communication system frequency spectrum coexistence environment, so that the interference of the networking radar to the communication system can be reduced, the radio frequency stealth performance of the networking radar can be improved, and the mutual interference among the radars can be reduced, thereby realizing the frequency spectrum sharing of the networking radar and the communication system.
The existing method provides a networking radar power control idea based on a non-cooperative game in a frequency spectrum coexistence environment, improves the radio frequency stealth performance of a networking radar system in the frequency spectrum coexistence environment, but does not fully mobilize the positivity of a communication system, and does not consider the game income of the communication system.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects in the prior art, the invention provides a networking radar power distribution method based on a Starkelberg game by considering the coexistence of a networking radar and a communication system frequency spectrum.
The technical scheme is as follows: the invention relates to a networking radar power distribution method based on a Stark-Berger game, which comprises the following steps of:
s1: acquiring path propagation loss between each radar and a target and between each radar and a communication system in a networking radar system;
s2: establishing a networking radar power distribution model based on a non-cooperative game according to a preset target detection signal-to-interference-and-noise ratio threshold and each radar transmitting power upper limit;
s3: calculating game income obtained by the communication system from a networking radar;
s4: acquiring an iterative expression of the transmitting power of each radar in the networking radar system;
s5: and the communication system increases the unit interference power price c, broadcasts to each radar, and continuously iteratively updates until the utility function of the communication system is converged, wherein the obtained emission power value of each radar meeting the constraint condition is obtained.
Further, in step S1, path propagation losses between each radar and the target and between each radar and the communication system in the networking radar system are obtained according to equation (1):
in the formula (1), the reaction mixture is,for the path propagation loss from radar i to the target and then to radar i,for the path propagation loss from radar i to target to radar j,for the direct wave path propagation loss from radar i to radar j,for the direct path propagation loss, G, of radar i to the communication systemtFor the transmitting antenna gain of each radar, GrIs receive antenna gain, G ', of each radar'tAntenna gain, G ', is transmitted for each radar sidelobe'rFor each radar side lobe receiving antenna gain,is the radar cross section of the target relative to radar i,is the radar cross section of the target relative to radar i and radar j, lambda is the radar emission signal wavelength, RiDistance between radar i and target, RjDistance between radar j and target, di,jDistance between radar i and radar j, diIs the distance between radar i and the communication system.
Further, in step S2, a networking radar power distribution model based on a non-cooperative game is established according to equation (2):
in the formula (2), PiIs the transmission power of radar i, NTFor the total number of radars in a networked radar system, Ui(Pi,P-i) For the game utility function of the radar i,for a predetermined signal-to-noise threshold, gamma, of radar iiFor radar iSignal to noise ratio of aiA target detection performance weight coefficient of a radar i, n is the number of times of iteration, biAs a penalty factor for the radar i,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration.
Further, the signal-to-noise ratio γ of the radar iiCalculated according to equation (3):
in the formula (3), ci,jRepresenting the cross-correlation coefficient, P, between radar i and radar jCIn order to transmit power for the communication system,in order for the noise power of the radar receiver to be,for the path propagation loss from radar i to target to radar j,for the direct wave path propagation loss from radar i to radar j,for the propagation loss of the radar i to the direct path of the communication system, PjIs the transmit power of radar j.
Further, in step S3, the game profit is calculated according to equation (4):
in the formula (4), UCFor gaming benefits of communication systems, NTC is given as the total number of radars in the networked radar system, P is the price per unit interference poweri *For the transmit power at which radar i reaches nash equilibrium,for the direct path propagation loss, Q, of radar i to the communication systemthA maximum interference threshold is set for the communication system.
Further, in step S4, the transmission power iterative expression of each radar is calculated according to equation (5):
in the formula (5), Pi (ite+1)Is the transmission power, P, of radar i at the ite +1 iterationi (ite)For the transmission power of radar i at the ite iteration,for the signal-to-noise ratio of radar i at the ite iteration,the penalty factor for radar i at the ite iteration,the weight coefficient of the target detection performance of the radar i during the iteration of the second time, n is the number of times of iteration,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration,for a predetermined signal-to-noise ratio threshold of radar i。
Has the advantages that: the invention discloses a networking radar power distribution method based on a Stackelberg game, which comprises the steps of taking a communication system as a game leader, taking a networking radar as a game follower, setting unit interference price for each radar by the communication system, optimally distributing the own transmitting power among the networking radars through a non-cooperative game on the basis, minimizing the transmitting power of each radar in the networking radar system under the condition of meeting the target detection performance constraint, the networking radar total interference power constraint and the radar transmitting power constraint, and achieving the purpose of improving the radio frequency stealth performance of the networking radar in the spectrum coexistence environment. The invention not only minimizes the transmitting power of each radar under the condition of meeting the detection performance of a given target, but also maximizes the game utility of the communication system as much as possible, ensures the normal communication of the communication system and improves the participation enthusiasm of the communication system.
Drawings
Fig. 1 is a starkeberg game model under the coexistence environment of the networking radar and the communication system frequency spectrum in the embodiment of the present invention;
fig. 2 is a flow chart of the networking radar power distribution of the starkeberg game model in the embodiment of the present invention.
Detailed Description
The specific embodiment discloses a networking radar power distribution method based on a Starkelberg game, wherein the Starkelberg game is called a Stackelberg game in English, and fig. 1 shows the structure of the Stackelberg game. As shown in fig. 2, the method comprises the following steps:
s1: acquiring path propagation loss between each radar and a target and between each radar and a communication system in a networking radar system;
s2: establishing a networking radar power distribution model based on a non-cooperative game according to a preset target detection signal-to-interference-and-noise ratio threshold and each radar transmitting power upper limit;
s3: calculating game income obtained by the communication system from a networking radar;
s4: acquiring an iterative expression of the transmitting power of each radar in the networking radar system;
s5: and the communication system increases the unit interference power price c, broadcasts to each radar, and continuously iteratively updates until the utility function of the communication system is converged, wherein the obtained emission power value of each radar meeting the constraint condition is obtained.
In step S1, path propagation loss between each radar and the target and between each radar and the communication system in the networking radar system is obtained according to formula (1):
in the formula (1), the reaction mixture is,for the path propagation loss from radar i to the target and then to radar i,for the path propagation loss from radar i to target to radar j,for the direct wave path propagation loss from radar i to radar j,for the direct path propagation loss, G, of radar i to the communication systemtFor the transmitting antenna gain of each radar, GrIs receive antenna gain, G ', of each radar'tAntenna gain, G ', is transmitted for each radar sidelobe'rFor each radar side lobe receiving antenna gain,is the radar cross section of the target relative to radar i,is the radar cross section of the target relative to radar i and radar j, lambda is the radar emission signal wavelength, RiBetween radar i and targetDistance, RjDistance between radar j and target, di,jDistance between radar i and radar j, diIs the distance between radar i and the communication system.
In step S2, a networking radar power distribution model based on a non-cooperative game is established according to equation (2):
in the formula (2), PiIs the transmission power of radar i, NTFor the total number of radars in a networked radar system, Ui(Pi,P-i) For the game utility function of the radar i,for a predetermined signal-to-noise threshold, gamma, of radar iiIs the signal-to-noise ratio of radar i, aiA target detection performance weight coefficient of a radar i, n is the number of times of iteration, biAs a penalty factor for the radar i,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration.
Signal-to-noise ratio gamma of radar iiCalculated according to equation (3):
in the formula (3), ci,jRepresenting the cross-correlation coefficient, P, between radar i and radar jCIn order to transmit power for the communication system,in order for the noise power of the radar receiver to be,for the path propagation loss from radar i to target to radar j,for the direct wave path propagation loss from radar i to radar j,for the propagation loss of the radar i to the direct path of the communication system, PjIs the transmit power of radar j.
In step S3, the game yield is calculated according to equation (4):
in the formula (4), UCFor gaming benefits of communication systems, NTC is given as the total number of radars in the networked radar system, P is the price per unit interference poweri *For the transmit power at which radar i reaches nash equilibrium,for the direct path propagation loss, Q, of radar i to the communication systemthA maximum interference threshold is set for the communication system.
In step S4, the transmission power iterative expression of each radar is calculated according to equation (5):
in the formula (5), Pi (ite+1)Is the transmission power, P, of radar i at the ite +1 iterationi (ite)For the transmission power of radar i at the ite iteration,for the signal-to-noise ratio of radar i at the ite iteration,the penalty factor for radar i at the ite iteration,the weight coefficient of the target detection performance of the radar i during the iteration of the second time, n is the number of times of iteration,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration,is a preset signal-to-noise ratio threshold of the radar i.
Claims (5)
1. A networking radar power distribution method based on a Stark-Berger game is characterized in that: the method comprises the following steps:
s1: acquiring path propagation loss between each radar and a target and between each radar and a communication system in a networking radar system according to the formula (1):
in the formula (1), the reaction mixture is,for the path propagation loss from radar i to the target and then to radar i,for the path propagation loss from radar i to target to radar j,for radar i to radar jThe propagation loss of the arriving wave path is reduced,for the direct path propagation loss, G, of radar i to the communication systemtFor the transmitting antenna gain of each radar, GrGain of receiving antenna for each radar, Gt'gain of each radar sidelobe transmitting antenna, G'rFor each radar side lobe receiving antenna gain,is the radar cross section of the target relative to radar i,is the radar cross section of the target relative to radar i and radar j, lambda is the radar emission signal wavelength, RiDistance between radar i and target, RjDistance between radar j and target, di,jDistance between radar i and radar j, diDistance between radar i and the communication system;
s2: establishing a networking radar power distribution model based on a non-cooperative game according to a preset target detection signal-to-interference-and-noise ratio threshold and each radar transmitting power upper limit;
s3: calculating game income obtained by the communication system from a networking radar;
s4: acquiring an iterative expression of the transmitting power of each radar in the networking radar system;
s5: and the communication system increases the unit interference power price c, broadcasts to each radar, and continuously iteratively updates until the utility function of the communication system is converged, wherein the obtained emission power value of each radar meeting the constraint condition is obtained.
2. The networking radar power distribution method based on the Starkelberg game of claim 1, wherein: in the step S2, a networking radar power distribution model based on a non-cooperative game is established according to the formula (2):
in the formula (2), PiIs the transmission power of radar i, NTFor the total number of radars in a networked radar system, Ui(Pi,P-i) For the game utility function of the radar i,for a predetermined signal-to-noise threshold, gamma, of radar iiIs the signal-to-noise ratio of radar i, aiA target detection performance weight coefficient of a radar i, n is the number of times of iteration, biAs a penalty factor for the radar i,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration.
3. The networking radar power distribution method based on the Starkelberg game of claim 2, wherein: signal-to-noise ratio gamma of the radar iiCalculated according to equation (3):
in the formula (3), ci,jRepresenting the cross-correlation coefficient, P, between radar i and radar jCIn order to transmit power for the communication system,in order for the noise power of the radar receiver to be,for the path from radar i to target to radar jThe loss of the radial propagation is reduced,for the direct wave path propagation loss from radar i to radar j,for the propagation loss of the radar i to the direct path of the communication system, PjIs the transmit power of radar j.
4. The networking radar power distribution method based on the Starkelberg game of claim 1, wherein: in the step S3, the game profit is calculated according to equation (4):
in the formula (4), UCFor gaming benefits of communication systems, NTC is given as the total number of radars in the networked radar system, P is the price per unit interference poweri *For the transmit power at which radar i reaches nash equilibrium,propagation loss i, Q of direct wave path from radar i to communication systemthA maximum interference threshold is set for the communication system.
5. The networking radar power distribution method based on the Starkelberg game of claim 1, wherein: in step S4, the transmission power iterative expression of each radar is calculated according to equation (5):
in the formula (5), Pi (ite+1)Is the radar at the time of the ite +1 iterationi transmission power, Pi (ite)For the transmission power of radar i at the ite iteration,for the signal-to-noise ratio of radar i at the ite iteration,the penalty factor for radar i at the ite iteration,the weight coefficient of the target detection performance of the radar i during the iteration of the second time, n is the number of times of iteration,propagation loss of path from radar i to target and then to radar i, Pi maxDenotes the upper limit of the transmission power, P, of radar ii dRepresenting the transmit power of radar i at the d-th iteration,is a preset signal-to-noise ratio threshold of the radar i.
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