Cognitive radar waveform optimization method based on bat algorithm

A technology of waveform optimization and bat algorithm, which is applied in the field of cognitive radar, can solve the problems of reduced accuracy of results and achieve the effect of improving accuracy and solving waveform optimization problems

Active Publication Date: 2019-03-26
TIANJIN UNIV
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Problems solved by technology

However, when using it to solve optimization problems, if some constraints are discarded, the accuracy of the results will be reduced, so we need to propose other methods

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  • Cognitive radar waveform optimization method based on bat algorithm
  • Cognitive radar waveform optimization method based on bat algorithm
  • Cognitive radar waveform optimization method based on bat algorithm

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specific example

[0069] A specific example is as follows:

[0070] A waveform optimization algorithm based on bat algorithm:

[0071] Step 1. Given the dimension D of the received signal, the maximum number of iterations MaxDT of the entire bat algorithm, and the number M of bats.

[0072] Step 2. Initialize the position Xi of the bat swarm and the velocity Vi of the bats. Initialize the bat population position X i ={X1 ,X 2 ,X 3 ...X D}, i∈[1,M], each element is initialized to any integer value of [1,M]. Initialize the bat's velocity V i ={v 1 ,v 2 ,v 3 ...v D}. Initialize the global optimal solution Gbest.

[0073] Step 3. According to the formula f i = f min +(f max -f min ) × β update frequency, resulting in the pulse frequency fi of each bat. And initialize the emission rate r for the generated pulse frequency i 0 and impulse loudness Calculate the objective function value and optimal solution at the time of initialization. The pulse loudness is related to the random...

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Abstract

The invention relates to a cognitive radar technology, and proposes a waveform optimization method. The calculation performance of the method is higher than the calculation performance of the existingmethod. According to the cognitive radar waveform optimization method based on a bat algorithm, a signal sent on a transmitting end is reflected by a target, and then is received by a receiving end;a target scattering coefficient is calculated according to the maximum posterior probability; each virtual bat represents a feasible position of the signal; the optimal optimization algorithm is acquired according to the calculated position of the bat after each iteration; a cost function corresponding to the fitness is set for each position of the signal in space; iteration is carried out throughthe bat algorithm to change the signal waveform, so that the mean square error calculated by comparing the actual target scattering coefficient with the estimated target scattering coefficient is gradually reduced; after multiple iterations, the best position Gest is found by P; the mean square error is minimized; and radar waveform optimization is realized. The method provided by the invention is mainly applied to radar design and manufacturing.

Description

technical field [0001] The present invention relates to cognitive radar technology, specifically, to a cognitive radar waveform optimization method based on a bat algorithm. Background technique [0002] Cognitive radar system is a closed-loop system composed of transmitter, receiver and environment [1]. One of the key functions of the receiver is to feed back the received environmental information to the transmitter, and the transmitter optimizes the transmitted waveform according to the feedback information, so as to continuously improve the estimation and detection performance of the system. In the transmitter, based on the information obtained, changes are made to the transmit waveform to accurately estimate the target. Therefore, the primary problem of cognitive radar is waveform optimization. [0003] Waveform optimization in cognitive radar, due to its functional properties in terms of estimation error minimization, can be used for target detection and tracking. Ge...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/414Y02T10/40
Inventor 汪清王昊高丽蓉窦同东李萌
Owner TIANJIN UNIV
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