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In order to solve the high power consumption problem in the design of DOCSIS upstream transmitter, we proposed a new low power VLSI architecture for the design of upstream transmitter. By taking the symbol rate as the main performance constraint, the proposed architecture can scale the operating frequency of all circuit units included in the transmitter dynamically along with the changing of symbol rate on the upstream channel. In this way, the proposed architecture can achieve the optimized power consumption without losing any processing performance. Under different scenarios of symbol burst rates, the testing results show that the average power saving could be up to 67.13% after applying the proposed arch itecture. So far, the designed low power transmitter had been successfully integ rated in a CM (Cable Modem) SOC (System On Chip) platform with self-owned intellectual property rights, which supports the two-way digital cable TOD (TV-on-Demand), and demonstrated excellent low power characteristics. Without loss of gener ality, the design architecture presented in this paper also can be applied to the design of other power-sensitive communication system. At the same time, it is worth to be trust that the proposed method will help to promote the development of the key low-power technology in the VLSI and SOC design.

We propose a kind of simple-encoding irregular systematic LDPC codes suitable for relay cooperation. The constructed double LDPC codes are then applied to one-relay cooperation. The authors also suggest a new joint iterative decoding algorithm performed at the destination node for multiple received signals based on the joint Tanner graph for the double LDPC codes. It is demonstrated by theoretical analysis and numerical simulations that the proposed approach can

well combine the techniques of high-efficiency channel coding and cooperation to fully achieve the potential gains from coding and diversity, which consequently leads to the significant performance improvement over the non-cooperation system under the same conditions.

This paper describes a new non-stationary clutter mitigation method. The approach, called as D^3AMF, is performed in three stages, i.e. sub-aperture space-time spectral estimation using only a single range bin, full-dimension space-time spectral reconstruction with least-square fitting and clearing, target detection with adaptive match filtering. An important feature of the proposed method is its ability to extract requisite implementation information from the data itself and without sacrificing space-time aperture. A preliminary result against an airborne simulation data demonstrates the effectiveness of the proposed method.