【摘要】：為了進(jìn)一步提高OFDM線性時(shí)變信道估計(jì)性能,利用信道抽頭的時(shí)域稀疏特性和相關(guān)性,提出一種基于聯(lián)合稀疏模型的信道估計(jì)方法.首先,將線性時(shí)變信道模型下對(duì)連續(xù)多個(gè)符號(hào)周期的信道估計(jì)轉(zhuǎn)換成一個(gè)聯(lián)合稀疏重構(gòu)模型;其次,采用基于測量矩陣互相關(guān)性最小化的分組導(dǎo)頻設(shè)計(jì)準(zhǔn)則,在應(yīng)對(duì)子載波干擾的同時(shí),保證了稀疏重構(gòu)算法的性能;最后,設(shè)計(jì)一種基于循環(huán)并行樹的分組導(dǎo)頻優(yōu)化算法.仿真結(jié)果表明:與傳統(tǒng)線性時(shí)變信道估計(jì)方法和聯(lián)合稀疏模型下的信道估計(jì)方法相比,所提方法所需導(dǎo)頻數(shù)量少,信道估計(jì)性能更好,同時(shí)便于工程應(yīng)用.
[Abstract]:In order to further improve the performance of OFDM linear time-varying channel estimation, a channel estimation method based on joint sparse model is proposed based on time-domain sparsity and correlation of channel tap. Firstly, the channel estimation for continuous multiple symbol periods under the linear time-varying channel model is transformed into a joint sparse reconstruction model. Secondly, a packet pilot design criterion based on minimization of cross-correlation between measurement matrices is adopted to deal with subcarrier interference while ensuring the performance of sparse reconstruction algorithm. Finally, a packet pilot optimization algorithm based on cyclic parallel tree is designed. The simulation results show that compared with the traditional linear time-varying channel estimation method and the channel estimation method based on the joint sparse model, the proposed method requires less pilot frequency, has better channel estimation performance, and is easy to be applied in engineering.
【作者單位】： 西北工業(yè)大學(xué)電子信息學(xué)院;武警工程大學(xué)信息工程系;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61571368) 軍隊(duì)裝備預(yù)研項(xiàng)目(9140A25030511HK0340,9410C39051120C39149)
【分類號(hào)】：TN929.53

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