Research On The Method Of Power Allocation In The Integrated Phased-array Radar And Communication

With the development of communication,the frequency band of communication is gradually increasing.The communication will seize limited frequency band resources with radar in the future.With the increasing complexity of the information battlefield,the detection and perception function of radar can no longer meet the needs of modern battlefields.Therefore,the integrated radar and communication which has the characteristics of versatility and integration is becoming a research hotspot.Due to the working principle and function of radar and communication are different,and they share the equipment of the same platform,they will "grab" the limited power resources of the system and increase system power consumption.To solve this problem,this article focuses on the integrated phased-array radar and communication to explore the method of power resources allocation.The main work is as follows:1.To solve the problem of radar power allocation in multi-target tracking,this paper has realized the adaptive allocation algorithm of radar power.Then this paper has proposed the beam scheduling of radar which combines covariance algorithm and grey correlation analysis algorithm.We have constructed an objective function to meet the constraint of expected signal noise ratio,and minimize the total system power as much as possible.Then we can adaptively allocate the radar power resources by using the cvx toolbox.The results of the simulation show that compared with the average power allocation algorithm,the algorithm proposed in this paper saves radar power.This paper has used the grey relational analysis algorithm to calculate the threat of the tracked target and set the expected covariance.The deviation between the expected covariance and the actual covariance is calculated,the target with the largest deviation will be selected to be tracked.If all targets reach the expected covariance,the radar will detect new targets.The results of the simulation show that compared with random scheduling algorithms,the algorithm in this paper maximizes the utilization of beam resources on the basis of satisfying the tracking accuracy of each target.2.To solve the problem of power resource allocation of communication in the multitarget scenario,this paper has proposed the adaptive allocation algorithm of communication power which is based on the Non-dominated Sort Genetic Algorithm-Ⅱ(NSGA-Ⅱ).This paper has researched the Rate-adaptive Water-filling Algorithm and the Margin-adaptive Water-filling Algorithm.Then it has combined the fair proportion coefficient and the communication rate to construct the multi-objective function to be optimized.The NSGA-Ⅱ has been used to find the optimal frontier of multi-objective function,and the comprehensive performance of each solution in the non-dominated solution set has been comprehensively considered to choose the best one.According to the optimal solution,the optimal power allocation strategy has been formulated.The results of the simulation show that compared with the average power allocation algorithm,the algorithm proposed in this paper improves the overall performance of the communication system with limited power resources.3.To solve the power resource allocation of the integrated phased-array radar and communication system,this paper has studied a method which is based on the content 1 and2 to control the Orthogonal Frequency Division Multiplexing(OFDM)integrated signal power.Firstly,according to the diversity characteristics of OFDM,the multi-objective function of radar mutual information and communication channel capacity have been established.Then the chaotic map has been introduced into the NSGA-Ⅱ algorithm to generate the initial population,and the binary crossover operator has been replaced by mixed crossover.Based on the improved NSGA-Ⅱ algorithm,the non-dominated solution set of multi-objective function has been designed.The feasible solution with the best comprehensive performance in the solution set will be selected to formulate the power allocation strategy for each subcarrier at the next moment.The results of the simulation show that compared with the average power allocation algorithm,the algorithm proposed in this paper can improve the overall performance of the integrated phased-array radar and communication.