Abstract
Due to the uncertainty of radar target prior information in actual scenes, waveform design based on radar target prior information cannot meet the requirements of detection performance and parameter estimation. Aiming at the problem of waveform design for detecting multi-target in the presence of clutter, a linear probability-weighted summation (PWS) algorithm based on multi-target impulse response is proposed and includes the radar waveform design based on mutual information (MI) and signal-to-interference ratio (SINR) criteria. In view of the traditional water-filling algorithm, the problem of multi-target is further investigated in a new way to improve the overall performance of the system. The method makes a lot of deductions by using Jensen’s inequality, to determine the algorithm objective function and energy constraint. The simulation results show that the proposed algorithm has better detection performance and more accurate target information.
Highlights
For the problem of target recognition in cognitive radar systems, in 2015, Jiu Bo [1] proposed a method to transform the water-filling method into a universal water-filling method for clutter background, by maximizing target echo and expansion
The adaptive waveform design technology based on cognitive radar target recognition is a new way to realize radar target recognition technology [6]
This paper focuses on the adaptive waveform design technology for target recognition, comprehensively considers the environment, systematically analyzes and unifies the existing waveform optimization techniques for target recognition and focuses on the optimal waveform design method based on the random signal model
Summary
For the problem of target recognition in cognitive radar systems, in 2015, Jiu Bo [1] proposed a method to transform the water-filling method into a universal water-filling method for clutter background, by maximizing target echo and expansion. An important constraint to the improvement of traditional radar target recognition performance is that the fixed transmitter waveform of the existing radar system is mismatched with the current state of the target and the environment If it can adaptively, intelligently and dynamically optimize and reconfigure the transmit waveform based on the knowledge of the current target which has not been identified, the dynamic optimization and reconfiguration of the transmit waveform will greatly improve the radar system recognition performance and effectively reduce the complexity of traditional recognition algorithms [9]. The uncertainty of target characteristics is reduced by maximizing mutual information between the target echo and extended target This idea is applied to the target recognition waveform optimization problem in [10,11]. There is no literature on the optimization and adaptive techniques of the transmitted waveforms when multiple distance-resolvable targets appear in the same beam To solve this problem, this paper studies the optimal waveform design and adaptive technology for multiple extended target recognition in the same beam. The final section is the conclusion, comprehensively summarizing the advantages and disadvantages of the algorithm, laying a good theoretical foundation for the later research
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