一種低復(fù)雜度線性調(diào)頻信號(hào)參數(shù)估計(jì)算法
doi: 10.11999/JEIT140166
基金項(xiàng)目:
國家863計(jì)劃項(xiàng)目(2012AA01A505)和國家自然科學(xué)基金 (61271258)資助課題
A Low Complexity Parameter Estimation Algorithm of LFM Signals
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摘要: 為降低線性調(diào)頻(LFM)信號(hào)參數(shù)估計(jì)的復(fù)雜度，該文提出一種二次估計(jì)算法。首先通過短時(shí)相干積分與非相干累加對(duì)頻率斜升和起始頻率進(jìn)行預(yù)估計(jì)；然后以預(yù)估計(jì)結(jié)果為中心，利用多路并行部分匹配濾波快速傅里葉變換(PMF-FFT)和二次插值對(duì)參數(shù)進(jìn)行精確估計(jì)；最后綜合預(yù)估計(jì)和精確估計(jì)結(jié)果得到參數(shù)的最終估計(jì)值。仿真結(jié)果表明，該算法信噪比門限較低，估計(jì)精度接近克拉美羅下界，其計(jì)算復(fù)雜度和資源消耗均遠(yuǎn)低于頻率斜升試探算法和插值聯(lián)合估計(jì)算法。
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關(guān)鍵詞:
- 信號(hào)處理 /
- 線性調(diào)頻 /
- 二次估計(jì) /
- 低復(fù)雜度 /
- 克拉美羅下界
Abstract: A quadratic estimation algorithm is proposed to reduce the complexity of accurate Linear Frequency Modulation (LFM) parameter estimation. First, the frequency rate and initial frequency are estimated coarsely by short time coherent integral and incoherent accumulation. Then, the parallel Partial Matched Filters combined with FFT (PMF-FFT) and quadratic interpolation are utilized to estimate the residuals of the frequency rate and initial frequency. Last, the final estimated values are obtained by synthesizing the results of both estimations. Simulation shows that the proposed algorithm has a low SNR threshold, and the accuracy is close to Cramer-Rao Lower Bound (CRLB). The complexity and hardware consumption of the proposed algorithm are much less than the frequency rate test algorithm and joint estimation algorithm based on interpolation. -
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