论文标题
窄带高斯信号的一位直接位置确定
One-Bit Direct Position Determination of Narrowband Gaussian Signals
论文作者
论文摘要
众所周知的直接位置确定（DPD）方法的主要缺点之一是要求将原始信号数据传输到公共处理器。因此，如果DPD $ - $或其修改版本$ - $可以成功地应用于原始数据的粗略版本，从而减轻了不同基础站之间的通信链接的要求，则将具有很高的实际价值。由上述动机，并受到恢复活力的一位阵列处理字段的最新工作的启发，我们提出了一位DPD：一种基于一位量化测量值的直接定位方法。我们表明，尽管进行了粗糙的量化，但提出的方法仍然可以估算出具有吸引力的渐近特性的未知发射极位置。我们进一步建立了仅依赖二阶统计数据的该模型的潜在可识别性条件。经验模拟结果证实了我们的分析推导，表明有关未知发射极位置的许多信息都保留在这种原油量化形式下。
One of the main drawbacks of the well-known Direct Position Determination (DPD) method is the requirement that raw signal data be transferred to a common processor. It would therefore be of high practical value if DPD$-$or a modified version thereof$-$could be successfully applied to a coarsely quantized version of the raw data, thus alleviating the requirements on the communication links between the different base stations. Motivated by the above, and inspired by recent work in the rejuvenated one-bit array processing field, we present One-Bit DPD: a method for direct localization based on one-bit quantized measurements. We show that despite the coarse quantization, the proposed method nonetheless yields an estimate for the unknown emitter position with appealing asymptotic properties. We further establish the underlying identifiability conditions of this model, which rely only on second-order statistics. Empirical simulation results corroborate our analytical derivations, demonstrating that much of the information regarding the unknown emitter position is preserved under this crude form of quantization.
