Jitter measurement in digital signals by using software defined radio technology

Here, we propose a method using software defined radio (SDR) technology to measure periodic and random jitter in a digital signal. Conventional methods to measure jitter required expensive measurement equipment. We use a cheap (less than US $40) SDR USB dongle to expose random and periodic jitter in the amplitude modulated light source of a range camera. By using Fourier analysis we generate an ideal reference signal to enable to extract jitter at the zero crossings of the signal under test. We measure jitter with SDR receiver and more conventionally a real-time digital oscilloscope. From the SDR receiver, we find the periodic jitter at low frequency and compare to the oscilloscope results. We demonstrate that periodic and random jitter can be detected on a RF signal with consumer priced products provided that the jitter frequency less within the bandwidth of the receiver

In-system Jitter Measurement Based on Blind Oversampling Data Recovery

The paper describes a novel method for simple estimation of jitter contained in a received digital signal. The main objective of our research was to enable a non-invasive measurement of data link properties during a regular data transmission. To evaluate the signal quality we estimate amount of jitter contained in the received signal by utilizing internal signals of a data recovery circuit. The method is a pure digital algorithm suitable for implementation in any digital integrated circuit (ASIC or FPGA). It is based on a blind-oversampling data recovery circuit which is used in some receivers instead of a traditional PLL-based clock and data recovery (CDR) circuit. Combination of the described jitter measurement block and the data recovery block forms a very efficient input part of the digital receiver. In such configuration it is able to simultaneously perform both data communication (data recovery) and signal quality estimation (jitter measurement). The jitter measurement portion of the receiver requires no special connection of the received data signal. Thus the measured signal is not influenced by the measurement circuitry at all. To verify the method we performed a measurement on a laboratory free-space optics link. Results of the measurement are satisfactory and can be used for on-line channel analysis

Fronthaul evolution: From CPRI to Ethernet

It is proposed that using Ethernet in the fronthaul, between base station baseband unit (BBU) pools and remote radio heads (RRHs), can bring a number of advantages, from use of lower-cost equipment, shared use of infrastructure with fixed access networks, to obtaining statistical multiplexing and optimised performance through probe-based monitoring and software-defined networking. However, a number of challenges exist: ultra-high-bit-rate requirements from the transport of increased bandwidth radio streams for multiple antennas in future mobile networks, and low latency and jitter to meet delay requirements and the demands of joint processing. A new fronthaul functional division is proposed which can alleviate the most demanding bit-rate requirements by transport of baseband signals instead of sampled radio waveforms, and enable statistical multiplexing gains. Delay and synchronisation issues remain to be solved

Discrete-Time Mixing Receiver Architecture for RF-Sampling Software-Defined Radio

A discrete-time (DT) mixing architecture for RF-sampling receivers is presented. This architecture makes RF sampling more suitable for software-defined radio (SDR) as it achieves wideband quadrature demodulation and wideband harmonic rejection. The paper consists of two parts. In the first part, different downconversion techniques are classified and compared, leading to the definition of a DT mixing concept. The suitability of CT-mixing and RF-sampling receivers to SDR is also discussed. In the second part, we elaborate the DT-mixing architecture, which can be realized by de-multiplexing. Simulation shows a wideband 90° phase shift between I and Q outputs without systematic channel bandwidth limitation. Oversampling and harmonic rejection relaxes RF pre-filtering and reduces noise and interference folding. A proof-of-concept DT-mixing downconverter has been built in 65 nm CMOS, for 0.2 to 0.9 GHz RF band employing 8-times oversampling. It can reject 2nd to 6th harmonics by 40 dB typically and without systematic channel bandwidth limitation. Without an LNA, it achieves a gain of -0.5 to 2.5 dB, a DSB noise figure of 18 to 20 dB, an IIP3 = +10 dBm, and an IIP2 = +53 dBm, while consuming less than 19 mW including multiphase clock generation

Phase Locked Loop Test Methodology

Phase locked loops are incorporated into almost every large-scale mixed signal and digital system on chip (SOC). Various types of PLL architectures exist including fully analogue, fully digital, semi-digital, and software based. Currently the most commonly used PLL architecture for SOC environments and chipset applications is the Charge-Pump (CP) semi-digital type. This architecture is commonly used for clock synthesis applications, such as the supply of a high frequency on-chip clock, which is derived from a low frequency board level clock. In addition, CP-PLL architectures are now frequently used for demanding RF (Radio Frequency) synthesis, and data synchronization applications. On chip system blocks that rely on correct PLL operation may include third party IP cores, ADCs, DACs and user defined logic (UDL). Basically, any on-chip function that requires a stable clock will be reliant on correct PLL operation. As a direct consequence it is essential that the PLL function is reliably verified during both the design and debug phase and through production testing. This chapter focuses on test approaches related to embedded CP-PLLs used for the purpose of clock generation for SOC. However, methods discussed will generally apply to CP-PLLs used for other applications