The critical problem of the pseudo-noise (PN) code acquisition system is the contradiction between the acquisition performance and the calculation complexity. This paper presents a low cost correlator (LCC) structure that can search for two PN code phases in a single accumulation period by eliminating redundant computation. Compared with the part-parallel structure that is composed of two serial correlators (PARALLEL2), the proposed LCC structure has the same performance while saves about 22% chip area and 34% power consumption if uses the Carry-look-ahead (CLA) adder, 17% chip area and 25% power consumption if uses the Ripple-carry (RPL) adder.

The Global Position System (GPS), which is well known as a global tool for positioning, is also the primary system for time transfer. GPS can deliver very precise time to every corner of the world. Usually, a GPS receiver indicates the precise time by means of the 1PPS (one pulse per second) signal. This paper studies the precise time transfer system structure of GPS receivers and then proposes an effective PPS signal generation method with predictive synchronous loop, combining phase error prediction and dynamic threshold adjustment. A GPS time transfer system is implemented and measured in detail to demonstrate the validity of the proposed algorithm. Assuming the receiver clock rate of 16.368MHz, the proposed method can achieve the accuracy of ±20ns in the scope 1δ which can meet the requirements of the vast majority of occasions. Through a long period of testing, we prove the feasibility of this algorithm experimentally.

Due to low signal-to-carrier ratio and high dynamic, the frequency deviation affects the bit synchronization in GNSS receiver. This paper proposes a balance differential coherent bit synchronization algorithm, which uses the differential coherent method to eliminate the influence of the frequency deviation. By enlarging the differential distance, the proposed algorithm achieves higher bit synchronization rates. Combining two complementary differential coherent parts, the proposed algorithm avoids the unbalance problem and the attenuation of accumulation. Furthermore, a general architecture is presented to reduce the system complexity. Experimental results show that the proposed algorithm improves the sensitivity of bit synchronization by 3∼7dB compared with the previous method.

Forecasting commodity futures price is a challenging task. We present an algorithm to predict the trend of commodity futures price based on a type of structuring data and back propagation neural network. The random volatility of futures can be filtered out in the structuring data. Moreover, it is not restricted by the type of futures contract. Experiments show the algorithm can achieve 80% accuracy in predicting price trends.

The key factors in overcoming for weak global navigation satellite systems (GNSS) signal acquisition are sensitivity and dwell time. In the conventional MAX/TC criteria, a preset threshold value is used to determine whether the signal exists. Thus the threshold is calculated carefully to balance the sensitivity and the dwell time. Affected by various environment noise and interference, the acquisition circuit will enter verifying mode frequently to eliminate false alarms, which will extend the mean acquisition time (MAT). Based on the periodicity of spread spectrum code in GNSS, this paper presents an improved double-dwell scheme that uses no threshold in detecting weak GNSS signals. By adopting this method, the acquisition performance of weak signal is significantly improved. Theoretical analysis and numerical simulation are presented detailed. Compared with the conventional MAX/TC criteria, the proposed method achieves improved performance in terms of detection probability and false alarm rate. Furthermore, the MAT decreases 15s when C/N0 is above 20dB-Hz. This can enhance the receiver sensitivity and shorten the time to first fix (TTFF).