Abstract
Waveform design and diversity is the technology that allows one or more sensors (e.g., radar or radar sensor networks) on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency, to meet the varying environments. Optimization problems in the design of radar waveforms such as polyphase code design often bring troubles to designers. This paper proposes to hybridize the migration operator of biogeography-based optimization (BBO) approach with artificial bee colony (ABC) algorithm. Migration operator is able to promote information exchange of solutions in bee colony. This is useful for exploiting good information of searched solutions. Moreover, t h r e e state-of-the-art ABC variants are taken for study. A spread spectrum polyphase code design problem is chosen for experiment. The proposed ABCBBO algorithm as well as three state-of-the-art ABC algorithms are applied to solve polyphase code design. Results show that ABCBBO presents the overall best performance amongst the test algorithms. It is also the most reliable one.
Highlights
Waveform design and diversity is the technology that allows one or more sensors on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency (PRF), to meet the varying environments [1, 2]
For the polyphase code design problem, history-driven ABC (HdABC) obtains the minimum function value compared with the other algorithms over 25 trials
The p-values comparing ABCBBO with each of the other algorithms is given in the last column of Table 1
Summary
Waveform design and diversity is the technology that allows one or more sensors (e.g., radar or radar sensor networks) on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency (PRF), to meet the varying environments [1, 2]. There are emerging and compelling changes in system requirements such as more efficient spectrum usage, higher sensitivities, greater information content, improved robustness to errors, and reduced interference emissions [4, 5] The combination of these changes is fueling a worldwide interest in the subject of waveform design and the use of waveform. In designing radar waveforms using polyphase code method to do pulse compression, the design can be modeled as a min-max nonlinear programming problem. This problem is a NP-hard optimization problem [7] and is difficult to solve when problem dimension increases. The results show that memetic algorithm is able to obtain better solution than tabu search, GA, and HS
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