基于模擬退火的二相碼選碼方法
SIMULATED-ANNEALING-BASED SELECTION OF BINARY CODES
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摘要: 二相碼信號由于實(shí)現(xiàn)簡單,已經(jīng)廣泛地應(yīng)用于各種脈沖壓縮雷達(dá),然而到目前,高壓縮比、低旁瓣二相碼信號的優(yōu)選由于數(shù)學(xué)處理的困難和計(jì)算代價(jià)的昂貴一直沒有很好解決。本文引入神經(jīng)元計(jì)算的思想,提出了基于模擬退火的二相碼選碼方法。實(shí)驗(yàn)結(jié)果表明,這種方法不僅能搜索到最優(yōu)碼,搜索次數(shù)大大減少,而且易于做到優(yōu)選二相碼的優(yōu)化程度與計(jì)算代價(jià)之間的折衷。
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關(guān)鍵詞:
- 二相碼; 選碼; 旁瓣; 模擬退火
Abstract: Binary code signal have been widely used in various radars due to their simple implementation, but the selection of the binary codes with high compression ratio and low sidelobes is not well solved, because of the difficult processing in mathematics and expensive calculation cost. In this paper, neural computing is introduced into the field of the selection of binary codes, and a new method based on simulated annealing is proposed. The experiments show that the proposed method is able to select the optimal binary codes with much less time than the known methods, furthermore the optimization of selection of the binary codes versus the calculation cost trade-off is easier. -
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