【摘要】：針對低信噪比和高動態(tài)環(huán)境下的P碼直接捕獲問題,本文對傳統(tǒng)雙塊補(bǔ)零算法進(jìn)行改進(jìn),提出一種分段旋轉(zhuǎn)雙塊補(bǔ)零算法.算法通過分段FFT得到各數(shù)據(jù)段的頻譜;通過頻譜的循環(huán)移位進(jìn)行頻率斜升和初始頻偏補(bǔ)償,再求出頻率補(bǔ)償后的各段數(shù)據(jù)與本地偽碼的相關(guān)值并進(jìn)行非相干累加;對相關(guān)峰峰值進(jìn)行恒虛警檢測和拋物插值.仿真結(jié)果表明,本文所提算法與傳統(tǒng)雙塊補(bǔ)零算法相比,檢測概率和參數(shù)估計精度大致相當(dāng),捕獲時間降低80%,邏輯運算單元和存儲單元分別減少64%和99%.同時給出了不同系統(tǒng)要求下的關(guān)鍵參數(shù)選取方法,使算法具有較高的實用性.
[Abstract]:In order to solve the problem of direct acquisition of P codes in low SNR and high dynamic environments, this paper improves the traditional double block zero compensation algorithm and proposes a piecewise rotation double block zero compensation algorithm. The frequency spectrum of each data segment is obtained by segmented FFT, the frequency rise and initial frequency offset are compensated by cyclic shift of the frequency spectrum, and the correlation values between the data and the local pseudo-code after frequency compensation are calculated and incoherently accumulated. The correlation peak is detected by CFAR and parabolic interpolation. The simulation results show that the detection probability and parameter estimation accuracy of the proposed algorithm are approximately the same as those of the traditional double block zero compensation algorithm. The acquisition time is reduced by 80% and the logical operation unit and memory unit are reduced by 64% and 99% respectively. At the same time, the method of selecting key parameters under different system requirements is given, which makes the algorithm more practical.
【作者單位】： 北京理工大學(xué)信息與電子學(xué)院;
【基金】：國家“八六三”計劃項目(2015AA015701) 國家自然科學(xué)基金資助項目(61301089)
【分類號】：TN96

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