基于非圓信號(hào)的局部最大功效不變檢驗(yàn)頻譜感知方法
doi: 10.11999/JEIT150974
基金項(xiàng)目:
國家自然科學(xué)基金(61271299)，高等學(xué)校學(xué)科創(chuàng)新引智計(jì)劃項(xiàng)目(B08038)
A Novel Local Most Powerful Invariant Test Spectrum Sensing Method for Non-circular Signals
Funds:
The National Natural Science Foundation of China (61271299), 111 Project (B08038)
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摘要: 頻譜感知是認(rèn)知無線電網(wǎng)絡(luò)中關(guān)鍵的一個(gè)環(huán)節(jié)，為了保證主用戶不受干擾，要求感知算法必須具有較高的檢測效率和檢測精度。該文主要研究MIMO場景下的頻譜感知問題，利用非圓信號(hào)的特性，提出一種基于局部最大功效不變檢驗(yàn)(LMPIT)的頻譜感知方法。根據(jù)漸近分布理論，推導(dǎo)了所述方法的理論檢測門限。最后，采用蒙特卡洛仿真方法，分別分析了不同信道環(huán)境下該方法的檢測性能，并與相關(guān)的感知算法進(jìn)行對(duì)比。結(jié)果表明：在相同的環(huán)境下，文中提出的方法相比其他方法檢測性能更高，且所需的采樣點(diǎn)數(shù)更小，能夠?qū)崿F(xiàn)快速且精確的檢測。
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關(guān)鍵詞:
- 認(rèn)知無線電 /
- 頻譜感知 /
- 非圓信號(hào) /
- 局部最大功效不變檢驗(yàn)
Abstract: Spectrum sensing is a key technology in the cognitive radio network, in order to protect the primary user, the sensing algorithms must have a high detection efficiency and detection accuracy. This paper mainly focuses on the spectrum sensing in MIMO environment. Considering that the non-circular signal is usually used in the communication system, a novel spectrum sensing method is proposed for non-circular signals based on the Locally Most Powerful Invariant Test (LMPIT). The theoretical threshold is derived according to the asymptotic distribution theorem. Finally, the detection performance comparisons with other methods in various channels are simulated respectively. The results show that the proposed method outperforms other algorithms and only need small sample numbers, thus having higher sensing accuracy and efficiency. -
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