Summary
Digital down converter (DDC) is a time-intensive and data-intensive computing task and considered as the key technology in software defined radio. This paper proposes a high-performance implementation of DDC on a graphics processing unit (GPU) using CUDA, which is composed of a numerically controlled oscillator stage, a cascaded integrator-comb (CIC) decimation filter stage, and a finite impulse response (FIR) filter stage. The GPU implementation and optimizing of all the stages are studied in detail. Additionally, for handling a long-duration signal, the signal data sequence is truncated into segments; the overlap-save and overlap-add mechanisms were applied in CIC stage and FIR stage, respectively. Finally, experiments were conducted to evaluate the performance of GPU-based DDC with respect to a sequential version CPU implementation and an OpenMP implementation (16 threads). Experimental results demonstrate that the DDC achieves significant improvements on the GPU; the maximum speed ups in numerically controlled oscillator stage, CIC stage, and FIR stage can achieve more than 1242, 527, and 179 times, including data-transfer, kernel execution, and other processing operations; the overall speed up of DDC can achieve more than 180. In the meantime, the speed ups of GPU implementation are far above the OpenMP implementation (about 2.5-6.4 times).

Research and implementation of a high performance parallel computing digital down converter on graphics processing unit

Software radar is a hot direction of radar system research, and FIR filter is the basic part of the software radar system. Be restricted by the CPU speed, most of the FIR filter is achieved on the DSP. Following the development of new technology, GPU perhaps can replace the role of the DSP. This paper designs a band pass filter, then uses the GPU to fulfill that algorithm, Finally process some typical signals to test the speed and research the efficiency of using GPU to accomplish real time compute, it's useful for further research on software radar system.

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Research on paralleling compute efficiency of FIR filter

In order to reduce the delay of vehicles driving through signalized intersections and improve the passing efficiency, this paper proposes a speed guidance strategy for signalized intersections in the Connected Vehicles environment. The data of the vehicle movement process is obtained through connected vehicles, and the relationship between the movement parameters is analyzed by multiple regression analysis. The target speed calculation model is established with the minimum total vehicle delay, and the vehicles are guided through the intersection differently according to different target speeds. The strategy is simulated in combination with actual cases, and the results show that the travel delays can be significantly reduced.

A Speed Guidance Strategy at Intersections Based on Multiple Regression Analysis in the Connected Vehicles Environment

Aiming at the problem that the traditional monostatic ambiguity function is inconvenient to analyze the spatial resolution of the passive bistatic radar, this paper proposes a method to analyze it in a given airspace by using the spatial distribution of the ambiguity function. This method converts the time-delay Doppler distribution of the traditional ambiguity function into the spatial distribution near the reference target, which makes it more suitable for the intuitive analysis of the spatial resolution capability of the passive bistatic radar. This new method is used to analyze the target resolution capability in the designated airspace when Navigation augmented signals transmitted by the low-orbit communication satellite is used as the illuminator of opportunity. The distribution of the ambiguity function is transformed from a pushpin shape under the monostatic time delay-Doppler shift to a flat “sandwich biscuit” shape in space. The shape is closely related to the geometric relationship of the bistatic radar. Through the spatial distribution of the ambiguity function, the target resolution in a given airspace can be directly observed, which is convenient for analyzing the spatial resolution capability of the signal under different spatial geometric relationships. This also provides convenience for the optimal selection of the location of the illuminator of opportunity and receiving station.

Spatial resolution analysis of passive bistatic radar using low-orbit navigation augmented signals

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Research on paralleling compute efficiency of FIR filter

A Speed Guidance Strategy at Intersections Based on Multiple Regression Analysis in the Connected Vehicles Environment

Spatial resolution analysis of passive bistatic radar using low-orbit navigation augmented signals