The quasi-cyclic low-density parity-check (QC-LDPC) codes are widely applied in digital broadcast and communication systems. However, the decoders are still difficult to be put into practice due to their large area and high power, especially in the wireless mobile devices. This paper presents an improved all-purpose multirate iterative decoder architecture for QC-LDPC codes, which can largely reduce their area and power. The architecture implements the normalized min-sum algorithm, rearranges the original two-phase message-passing flow, and adopts an efficient quantization method for the second minimum absolute values, an optimized storing scheme for the position indexes and signs, and an elaborate clock gating technique for substantive memories and registers. It is also configurable for any regular and irregular QC-LDPC codes, and can be easily tuned up to different code rates and code word lengths. The chip is fabricated in an SMIC 0.18-m six-metal-layer standard CMOS technology. It attains a throughput of 104.5 Mb/s, and dissipates an average power of 486 mW at 125 MHz, and 15 decoding iterations. The core area is only 9.76 mm 2 . The chip has been applied into the China digital terrestrial/television multimedia broadcasting system.
IndexTerms-Digital terrestrial/television multimedia broadcasting (DTMB) system, iterative decoder architecture, min-sum-with-normalization-factor algorithm, quasi-cyclic low-density parity-check (QC-LDPC) codes, VLSI implementation.
In this paper, a multiple-input multiple-output (MIMO) integrated radar and communication system based on orthogonal frequency division multiplexing (OFDM) signals is proposed. We consider a bistatic scenario. Exploiting superimposed pilots and orthogonal space-time block code (OSTBC) precoding, transmitted power can be effectively used in both information symbol sending and target sensing with little energy waste and performance degradation. The expectation maximization (EM) is employed to estimate unknown symbols and the channel jointly, which can take the place of matched filtering in traditional radar. In the EM algorithm, we propose to calculate the channel expectation by using Gaussian distribution of the symbol estimation, which can make full use of the OSTBC property of sensing spatial diversity with fast maximum likelihood decoding. The autocorrelation response, and the Doppler response of moving targets in slow time are verified by numerical experiments. Simulations also show superimposed pilot is suitable in the integrated radar and communication system, even when targets with large Doppler shift exist. INDEX TERMS Integrated radar and communication, OFDM, MIMO, superimposed pilot, OSTBC.
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