In transmit-reference (TR) receivers, noise in the reference (pilot) pulse causes a noise × noise term in the decision statistic. This term severely degrades receiver performance. We propose a detection algorithm to decrease the noise in the reference pulse in TR receivers. Computer simulations show that at BER = 10⁻⁵, the proposed algorithm outperforms the existing algorithm by about 0.8 dB in both coded and uncoded scenarios. In high-rate applications, inter-symbol interference (ISI) drastically impairs the received signal. Monobit quantization intensifies the ISI and hence dramatically degrades the receiver performance. At first glance, channel coding increases ISI and seems useless to combat ISI. However, we propose to employ channel coding to overcome the severe performance loss caused by ISI. Simulation results show that in high SNR values, channel coding tackles the ISI problem especially when convolutional coding is used. Moreover, simulations reveal that convolutional coding is more robust to ISI compared to block coding schemes. Furthermore, the digital circuit design of coded/uncoded traditional and proposed monobit TR receivers is done in 0.18 µm CMOS technology at 2 V supply voltage. Simulations confirm the numerical results obtained in MATLAB. Finally, the power consumption of each receiver is reported.

在发射参考（TR）接收器中，参考（导频）脉冲中的噪声会在决策统计量中引起噪声×噪声项。该术语严重降低了接收机性能。我们提出一种检测算法，以减少TR接收机中参考脉冲中的噪声。计算机仿真表明，在BER = 10 ^-5时，在编码和未编码的情况下，所提出的算法都比现有算法优越约0.8 dB。在高速率应用中，符号间干扰（ISI）严重削弱了接收信号。单位比特量化会增强ISI，因此会大大降低接收机性能。乍一看，信道编码会增加ISI，似乎无法抵抗ISI。但是，我们建议采用信道编码来克服由ISI引起的严重性能损失。仿真结果表明，在高SNR值下，信道编码解决了ISI问题，尤其是在使用卷积编码时。此外，仿真表明，与块编码方案相比，卷积编码对ISI的鲁棒性更高。此外，已编码/未编码的传统和建议的单比特TR接收机的数字电路设计是在0中完成的。电源电压为2 V时为18 µm CMOS技术。仿真证实了在MATLAB中获得的数值结果。最后，报告每个接收器的功耗。