Method for calculating channel capacity of sparse microwave imaging radar system

Abstract

The invention provides a method for calculating channel capacity of a sparse microwave imaging radar system. The method includes the steps that radar observation channels are used as multi-input or multi-output channels, and channel noise is additive Gaussian noise; through matrix decomposition, the multi-input or multi-output channels are converted into parallel channels, and then maximum mutual information of output and input signals of the observation channels is calculated through the method of the parallel channels; due to limited power of the signals, transmitted power further needs to be distributed on the basis of the water injection principle, and then mutual information is made to be maximum; eventually, according to the distributed power of each sub channel, the channel capacity is calculated. The channel capacity of a sparse microwave image radar can be accurately calculated, and the basis is provided for evaluating the capacity of the system for distinguishing objectives.

Description

technical field [0001] The invention relates to a method for calculating the channel capacity of a sparse microwave imaging radar system. Background technique [0002] The resolution of traditional synthetic aperture radar is determined by the signal bandwidth and antenna size, however, in sparse microwave imaging radar, the resolution is not well defined. The research and experiments in [1] show that the radar system's ability to distinguish targets is related to the amount of information acquired by the system: the greater the amount of information acquired, the stronger the ability to distinguish. From the communication point of view, the ability of the radar system to obtain target information depends on the observation matrix and the ability of the observation channel to transmit information, that is, the channel capacity of the observation channel. Therefore, it is of great significance to study the calculation method of sparse microwave imaging radar channel capacity...

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Problems solved by technology

This shows that after the number of observations m is greater than a certain value, the channel capacity will not change significantly if the number of observations m is continued to increase. However, the channel capacity is proportional to the number of observations m in the calculation formula of the channel capacity given in the above literature [1] , which is obviously quite different from the expected results of the compressed sensing theory. The fundamental reason is that the influence of the observation matrix is ​​not considered, because in the compressed sensing theory, the observation matrix has a decisive effect on the ability to collect information

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